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As European policymakers take stock of seasonal worker programmes, MPI Europe brief outlines principles to improve these schemes for all parties

Findings will be discussed during 25 February MPI Europe – SVR webinar





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Carrot Top Pesto

This recipe features on Foodie Tuesday, a weekly segment on 774 Drive with Raf Epstein, 3.30PM, courtesy of Cassie Duncan from Sustainable Table.




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Pumpkin soup with roasted almond pesto

Pumpkin soup on it's own can be rather plain but with interesting garnishes, the ordinary becomes delicious. This variation on a classic pesto, which uses pine nuts, incorporates roasted almonds instead, giving this ubiquitous winter soup a greater depth of flavour and crunch.




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Six Simple Steps to Making Stock

This recipe was featured on Foodie Tuesday, a weekly segment on 774 Drive with Raf Epstein, 3.30PM, courtesy of Alice Zaslavsky.




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MACADAMIA PESTO POTATO SALAD WITH CRISPY PROSCIUTTO AND MARKET CHERRY TOMATOES

Love this time of year where our makers are abundant with the sweet aroma of fresh basil . Here is my take on a fancy potato salad of macadamia pesto , crispy prosciutto, sweet cherry tomatoes




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Indian cauliflower rice and coriander pesto

Cauliflower rice: 1 head cauliflower, cut into florets 2 tbsps. ghee Coriander pesto: 1 large bunch coriander 1 garlic clove 1/4 cup cashews 2 tbsps. parmesan, finely grated 1 lime, zested and juiced 3 tbsps. coconut oil




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Thinking with AND: Insights from KIND’s story

“I’m a confused Mexican Jew.” So says Daniel Lubetzky, Founder and CEO of KIND Snack, in his very personal interview with Columbia faculty member David Rogers at BRITE ’16. Their discussion touched on the many ideas behind KIND Snacks, from the beginnings of the company, to the strategic thinking that forces Lubetzky to stay away […]




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Squirrels and Stock Brokers, Or: Innovation Dilemmas, Robustness and Probability

Decisions are made in order to achieve desirable outcomes. An innovation dilemma arises when a seemingly more attractive option is also more uncertain than other options. In this essay we explore the relation between the innovation dilemma and the robustness of a decision, and the relation between robustness and probability. A decision is robust to uncertainty if it achieves required outcomes despite adverse surprises. A robust decision may differ from the seemingly best option. Furthermore, robust decisions are not based on knowledge of probabilities, but can still be the most likely to succeed.

Squirrels, Stock-Brokers and Their Dilemmas




Decision problems.
Imagine a squirrel nibbling acorns under an oak tree. They're pretty good acorns, though a bit dry. The good ones have already been taken. Over in the distance is a large stand of fine oaks. The acorns there are probably better. But then, other squirrels can also see those trees, and predators can too. The squirrel doesn't need to get fat, but a critical caloric intake is necessary before moving on to other activities. How long should the squirrel forage at this patch before moving to the more promising patch, if at all?

Imagine a hedge fund manager investing in South African diamonds, Australian Uranium, Norwegian Kroners and Singapore semi-conductors. The returns have been steady and good, but not very exciting. A new hi-tech start-up venture has just turned up. It looks promising, has solid backing, and could be very interesting. The manager doesn't need to earn boundless returns, but it is necessary to earn at least a tad more than the competition (who are also prowling around). How long should the manager hold the current portfolio before changing at least some of its components?

These are decision problems, and like many other examples, they share three traits: critical needs must be met; the current situation may or may not be adequate; other alternatives look much better but are much more uncertain. To change, or not to change? What strategy to use in making a decision? What choice is the best bet? Betting is a surprising concept, as we have seen before; can we bet without knowing probabilities?

Solution strategies.
The decision is easy in either of two extreme situations, and their analysis will reveal general conclusions.

One extreme is that the status quo is clearly insufficient. For the squirrel this means that these crinkled rotten acorns won't fill anybody's belly even if one nibbled here all day long. Survival requires trying the other patch regardless of the fact that there may be many other squirrels already there and predators just waiting to swoop down. Similarly, for the hedge fund manager, if other funds are making fantastic profits, then something has to change or the competition will attract all the business.

The other extreme is that the status quo is just fine, thank you. For the squirrel, just a little more nibbling and these acorns will get us through the night, so why run over to unfamiliar oak trees? For the hedge fund manager, profits are better than those of any credible competitor, so uncertain change is not called for.

From these two extremes we draw an important general conclusion: the right answer depends on what you need. To change, or not to change, depends on what is critical for survival. There is no universal answer, like, "Always try to improve" or "If it's working, don't fix it". This is a very general property of decisions under uncertainty, and we will call it preference reversal. The agent's preference between alternatives depends on what the agent needs in order to "survive".

The decision strategy that we have described is attuned to the needs of the agent. The strategy attempts to satisfy the agent's critical requirements. If the status quo would reliably do that, then stay put; if not, then move. Following the work of Nobel Laureate Herbert Simon, we will call this a satisficing decision strategy: one which satisfies a critical requirement.

"Prediction is always difficult, especially of the future." - Robert Storm Petersen

Now let's consider a different decision strategy that squirrels and hedge fund managers might be tempted to use. The agent has obtained information about the two alternatives by signals from the environment. (The squirrel sees grand verdant oaks in the distance, the fund manager hears of a new start up.) Given this information, a prediction can be made (though the squirrel may make this prediction based on instincts and without being aware of making it). Given the best available information, the agent predicts which alternative would yield the better outcome. Using this prediction, the decision strategy is to choose the alternative whose predicted outcome is best. We will call this decision strategy best-model optimization. Note that this decision strategy yields a single universal answer to the question facing the agent. This strategy uses the best information to find the choice that - if that information is correct - will yield the best outcome. Best-model optimization (usually) gives a single "best" decision, unlike the satisficing strategy that returns different answers depending on the agent's needs.

There is an attractive logic - and even perhaps a moral imperative - to use the best information to make the best choice. One should always try to do one's best. But the catch in the argument for best-model optimization is that the best information may actually be grievously wrong. Those fine oak trees might be swarming with insects who've devoured the acorns. Best-model optimization ignores the agent's central dilemma: stay with the relatively well known but modest alternative, or go for the more promising but more uncertain alternative.

"Tsk, tsk, tsk" says our hedge fund manager. "My information already accounts for the uncertainty. I have used a probabilistic asset pricing model to predict the likelihood that my profits will beat the competition for each of the two alternatives."

Probabilistic asset pricing models are good to have. And the squirrel similarly has evolved instincts that reflect likelihoods. But a best-probabilistic-model optimization is simply one type of best-model optimization, and is subject to the same vulnerability to error. The world is full of surprises. The probability functions that are used are quite likely wrong, especially in predicting the rare events that the manager is most concerned to avoid.

Robustness and Probability

Now we come to the truly amazing part of the story. The satisficing strategy does not use any probabilistic information. Nonetheless, in many situations, the satisficing strategy is actually a better bet (or at least not a worse bet), probabilistically speaking, than any other strategy, including best-probabilistic-model optimization. We have no probabilistic information in these situations, but we can still maximize the probability of success (though we won't know the value of this maximum).

When the satisficing decision strategy is the best bet, this is, in part, because it is more robust to uncertainty than another other strategy. A decision is robust to uncertainty if it achieves required outcomes even if adverse surprises occur. In many important situations (though not invariably), more robustness to uncertainty is equivalent to being more likely to succeed or survive. When this is true we say that robustness is a proxy for probability.

A thorough analysis of the proxy property is rather technical. However, we can understand the gist of the idea by considering a simple special case.

Let's continue with the squirrel and hedge fund examples. Suppose we are completely confident about the future value (in calories or dollars) of not making any change (staying put). In contrast, the future value of moving is apparently better though uncertain. If staying put would satisfy our critical requirement, then we are absolutely certain of survival if we do not change. Staying put is completely robust to surprises so the probability of success equals 1 if we stay put, regardless of what happens with the other option. Likewise, if staying put would not satisfy our critical requirement, then we are absolutely certain of failure if we do not change; the probability of success equals 0 if we stay, and moving cannot be worse. Regardless of what probability distribution describes future outcomes if we move, we can always choose the option whose likelihood of success is greater (or at least not worse). This is because staying put is either sure to succeed or sure to fail, and we know which.

This argument can be extended to the more realistic case where the outcome of staying put is uncertain and the outcome of moving, while seemingly better than staying, is much more uncertain. The agent can know which option is more robust to uncertainty, without having to know probability distributions. This implies, in many situations, that the agent can choose the option that is a better bet for survival.

Wrapping Up

The skillful decision maker not only knows a lot, but is also able to deal with conflicting information. We have discussed the innovation dilemma: When choosing between two alternatives, the seemingly better one is also more uncertain.

Animals, people, organizations and societies have developed mechanisms for dealing with the innovation dilemma. The response hinges on tuning the decision to the agent's needs, and robustifying the choice against uncertainty. This choice may or may not coincide with the putative best choice. But what seems best depends on the available - though uncertain - information.

The commendable tendency to do one's best - and to demand the same of others - can lead to putatively optimal decisions that may be more vulnerable to surprise than other decisions that would have been satisfactory. In contrast, the strategy of robustly satisfying critical needs can be a better bet for survival. Consider the design of critical infrastructure: flood protection, nuclear power, communication networks, and so on. The design of such systems is based on vast knowledge and understanding, but also confronts bewildering uncertainties and endless surprises. We must continue to improve our knowledge and understanding, while also improving our ability to manage the uncertainties resulting from the expanding horizon of our efforts. We must identify the critical goals and seek responses that are immune to surprise. 




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Can We Replay History?


After the kids' party games and the birthday cake came the action-packed Steve McQueen movie. My friend's parents had rented a movie projector. They hooked up the reel and let it roll. But the high point came later when they ran the movie backwards. Bullets streamed back into guns, blows were retracted and fallen protagonists recoiled into action. The mechanism that pulls the celluloid film forward for normal showing, can pull the film in the reverse direction, rolling it back onto the feeder reel and showing the movie in reverse.

If you chuck a round pebble off a cliff it will fall in a graceful parabolic arch, gradually increasing its speed until it hits the ground. The same pebble, if shot from the point of impact, at the terminating angle and speed, will gracefully and obligingly retrace its path. (I'm ignoring wind and air friction that make things a bit more complicated.)

Deterministic mechanisms, like the movie reel mechanism or the law of gravity, are reversible.

History is different. Peoples' behavior is influenced by what they know. You pack an umbrella on a trip to the UK. Google develops search algorithms not search parties because their knowledge base is information technology not mountain trekking. Knowledge is powerful because it enables rational behavior: matching actions to goals. Knowledge transforms futile fumbling into intelligent behavior.

Knowledge underlies intelligent behavior, but knowledge is continually expanding. We discover new facts and relationships. We discover that things have changed. Therefore tomorrow's knowledge-based behavior will, to some extent, be unpredictable today because tomorrow's discoveries cannot be known today. Human behavior has an inherent element of indeterminism. Intelligent learning behavior cannot be completely predicted.

Personal and collective history does not unfold like a pre-woven rug. Human history is fundamentally different from the trajectory of a pebble tossed from a cliff. History is the process of uncovering the unknown and responding to this new knowledge. The existence of the unknown creates the possibility of free will. The discovery of new knowledge introduces indeterminism and irreversibility into history, as explained by the philosophers G.L.S. Shackle and Karl Popper.

Nonetheless history is not erratic because each increment of new knowledge adds to the store of what was learned before. Memory is not perfect, either of individuals or groups, but it is powerful. History happens in historical context. For instance, one cannot understand the recent revolutions and upheavals in the Arab world from the perspective of 18th century European revolutions; the historical backgrounds are too different, and the outcomes in the Middle East will be different as well. Innovation, even revolution, is spurred by new knowledge laid over the old. A female municipal official slapped a Tunisian street vendor, Mohamed Bouazizi. That slap crystalized Mr Bouazizi's knowledge of his helpless social impotence and lit the match with which he immolated himself and initiated conflagrations around the Mideast. New knowledge acts like thruster engines on the inertial body of memory. What is emerging in the Mideast is Middle Eastern, not European. What is emerging is the result of new knowledge: of the power of networking, of the mortality of dictators, of the limits of coercion, of the power of new knowledge itself and the possibilities embedded in tomorrow's unknowns.

Mistakes are made, even with the best intentions and the best possible knowledge. Even if analysts knew and understood all the actions of all actors on the stage of history, they still cannot know what those people will learn tomorrow and how that new knowledge will alter their behavior. Mistakes are made because history does not unwind like a celluloid reel.

That's not to say that analysts are never ignorant, negligent, stupid or malicious. It's to say that all actions are, in a sense, mistakes. Or, the biggest mistake of all is to think that we can know the full import of our actions. We cannot, because actions are tossed, like pebbles, into the dark pit of unknown possible futures. One cannot know all possible echoes, or whether some echo might be glass-shatteringly cataclysmic.

Mistakes can sometimes be corrected, but never undone. History cannot be run backwards, and you never get a second chance. Conversely, every instant is a new opportunity because the future is always uncertain. Uncertainty is the freedom to err, and the opportunity to create and discover. 




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Mind or Stomach? Imagination or Necessity?

"An army marches on its stomach" said Napoleon, who is also credited with saying "Imagination rules the world". Is history driven by raw necessity and elementary needs? Or is history hewn by people from their imagination, dreams and ideas?

The answer is simple: 'Both'. The challenge is to untangle imagination from necessity. Consider these examples:

An ancient Jewish saying is "Without flour, there is no Torah. Without Torah there is no flour." (Avot 3:17) Scholars don't eat much, but they do need to eat. And if you feed them, they produce wonders.

Give a typewriter to a monkey and he might eventually tap out Shakespeare's sonnets, but it's not very likely. Give that monkey an inventive mind and he will produce poetry, a vaccine against polio, and the atom bomb. Why the bomb? He needed it.

Necessity is the mother of invention, they say, but it's actually a two-way street. For instance, human inventiveness includes dreams of cosmic domination, leading to war. Hence the need for that bomb. Satisfying a need, like the need for flour, induces inventiveness. And this inventiveness, like the discovery of genetically modified organisms, creates new needs. Necessity induces inventiveness, and inventiveness creates new dangers, challenges and needs. This cycle is endless because the realm of imagination is boundless, far greater than prosaic reality, as we discussed elsewhere.

Imagination and necessity are intertwined, but still are quite different. Necessity focusses primarily on what we know, while imagination focusses on the unknown.

We know from experience that we need food, shelter, warmth, love, and so on. These requirements force themselves on our awareness. Even the need for protection against surprise is known, though the surprise is not.

Imagination operates in the realm of the unknown. We seek the new, the interesting, or the frightful. Imagination feeds our fears of the unknown and nurtures our hopes for the unimaginable. We explore the bounds of the possible and try breaking through to the impossible.

Mind or stomach? Imagination or necessity? Every 'known' has an 'unknown' lurking behind it, and every 'unknown' may some day be discovered or dreamed into existence. Every mind has a stomach, and a stomach with no mind is not human.




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We're Just Getting Started: A Glimpse at the History of Uncertainty


We've had our cerebral cortex for several tens of thousands of years. We've lived in more or less sedentary settlements and produced excess food for 7 or 8 thousand years. We've written down our thoughts for roughly 5 thousand years. And Science? The ancient Greeks had some, but science and its systematic application are overwhelmingly a European invention of the past 500 years. We can be proud of our accomplishments (quantum theory, polio vaccine, powered machines), and we should worry about our destructive capabilities (atomic, biological and chemical weapons). But it is quite plausible, as Koestler suggests, that we've only just begun to discover our cerebral capabilities. It is more than just plausible that the mysteries of the universe are still largely hidden from us. As evidence, consider the fact that the main theories of physics - general relativity, quantum mechanics, statistical mechanics, thermodynamics - are still not unified. And it goes without say that the consilient unity of science is still far from us.

What holds for science in general, holds also for the study of uncertainty. The ancient Greeks invented the axiomatic method and used it in the study of mathematics. Some medieval thinkers explored the mathematics of uncertainty, but it wasn't until around 1600 that serious thought was directed to the systematic study of uncertainty, and statistics as a separate and mature discipline emerged only in the 19th century. The 20th century saw a florescence of uncertainty models. Lukaczewicz discovered 3-valued logic in 1917, and in 1965 Zadeh introduced his work on fuzzy logic. In between, Wald formulated a modern version of min-max in 1945. A plethora of other theories, including P-boxes, lower previsions, Dempster-Shafer theory, generalized information theory and info-gap theory all suggest that the study of uncertainty will continue to grow and diversify.

In short, we have learned many facts and begun to understand our world and its uncertainties, but the disputes and open questions are still rampant and the yet-unformulated questions are endless. This means that innovations, discoveries, inventions, surprises, errors, and misunderstandings are to be expected in the study or management of uncertainty. We are just getting started. 






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New History of Psychiatry: Melancholy, Madness, Chinese Psychiatry, Psychedelic Therapy, and More

The June 2020 issue of History of Psychiatry is now online. Full details follow below: “Wild melancholy. On the historical plausibility of a black bile theory of blood madness, or hæmatomania,” Jan Verplaetse. Abstract: Nineteenth-century art historian John Addington Symonds coined the term hæmatomania (blood madness) for the extremely bloodthirsty behaviour of a number of … Continue reading New History of Psychiatry: Melancholy, Madness, Chinese Psychiatry, Psychedelic Therapy, and More




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History of Spanish Psychology, 1800–2000

AHP readers may be interested in a recent piece on “History of Spanish Psychology, 1800–2000” in the Oxford Research Encyclopedia of Psychology. Full details below. “History of Spanish Psychology, 1800–2000,” by Javier Bandrés. Abstract: In the history of Spanish psychology in the 19th century, three stages can be distinguished. An eclectic first stage was defined … Continue reading History of Spanish Psychology, 1800–2000




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May HoP, including a Special Section: Who Was Little Albert? The Historical Controversy

Photographs of John Watson (left) and Rosalie Rayner (right) via Ben Harris. The May 2020 issue of History of Psychology is now online. The issue includes a special section on “Who Was Little Albert? The Historical Controversy.” Full details follow below. Special Section: Who Was Little Albert? The Historical Controversy“Journals, referees, and gatekeepers in the … Continue reading May HoP, including a Special Section: Who Was Little Albert? The Historical Controversy




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The History of the Clitoris (Video)

The clitoris is an organ that has been wildly misunderstood and mischaracterized for most of human history. The last three decades have dramatically changed the way that scientists think and talk about the clitoris; however, many myths and misconceptions remain.




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The gender-fluid history of the Philippines | France Villarta

In much of the world, gender is viewed as binary: man or woman, each assigned characteristics and traits designated by biological sex. But that's not the case everywhere, says France Villarta. In a talk that's part cultural love letter, part history lesson, he details the legacy of gender fluidity and inclusivity in his native Philippines -- and emphasizes the universal beauty of all people, regardless of society's labels.




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Why it's so hard to talk about the N-word | Elizabeth Stordeur Pryor

Historian Elizabeth Stordeur Pryor leads a thoughtful and history-backed examination of one of the most divisive words in the English language: the N-word. Drawing from personal experience, she explains how reflecting on our points of encounter with the word can help promote productive discussions and, ultimately, create a framework that reshapes education around the complicated history of racism in the US.




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The weird history of the "sex chromosomes" | Molly Webster

The common thinking on biological sex goes like this: females have two X chromosomes in their cells, while males have one X and one Y. In this myth-busting talk, science writer and podcaster Molly Webster shows why the so-called "sex chromosomes" are more complicated than this simple definition -- and reveals why we should think about them differently.




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A history of Indigenous languages -- and how to revitalize them | Lindsay Morcom

Indigenous languages across North America are under threat of extinction due to the colonial legacy of cultural erasure, says linguist Lindsay Morcom. Highlighting grassroots strategies developed by the Anishinaabe people of Canada to revive their language and community, Morcom makes a passionate case for enacting policies that could protect Indigenous heritage for generations to come.




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The mental health benefits of storytelling for health care workers | Laurel Braitman

Health care workers are under more stress than ever before. How can they protect their mental health while handling new and complex pressures? TED Fellow Laurel Braitman shows how writing and sharing personal stories helps physicians, nurses, medical students and other health professionals connect more meaningfully with themselves and others -- and make their emotional well-being a priority.





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Briefly Stated: Stories You May Have Missed

A collection of short news stories from this week.




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Next Stop for Widespread Teacher Activism? North Carolina

Thousands of North Carolina teachers will take leave on May 16 to protest at the state capitol, forcing some school districts to close.




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After Okla. Historic Pay Raise, Morale Is Up—But Teacher Shortage Persists

Despite a $6,100 teacher pay raise this spring, school districts report that they're starting the new academic year with nearly 500 teaching vacancies.




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Groups seek injunction to stop Idaho transgender sports ban




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Tiny Teaching Stories: 'I Wish I Had Known'

Super-short stories written by teachers about their triumphs and frustrations, and the hilarious or absurd moments from their lives.




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Stop Giving Inexperienced Teachers All the Lower-Level Math Classes, Reformers Argue

“Detracking” math teachers is tough because many educators resist upending their routines or challenging informal hierarchies, and PD initiatives to make it happen are limited.




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North Dakota Introduces Native American History

North Dakota is the latest state to make a push for integrating Native American or other ethnic studies into school curricula.




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Audit: Maryland Dept. Did Not Properly Store Data for 1.4 Million Students

The Maryland State Department of Education "inappropriately stored" personal information of 1.4 million students and more than 230,000 teachers, leaving them vulnerable to potential bad actors, according to an audit published earlier this month.




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Briefly Stated: Stories You May Have Missed

A collection of short news stories from this week.




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DeVos: State Bans on Public Money to Religious Schools Should Go To 'Ash Heap of History'

U.S. Secretary of Education Betsy DeVos railed against state constitutional prohibitions on public funds going to religious institutions in a speech to the Alfred E. Smith Foundation in New York City.




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A Once Homeless Teen Earned $3 Million in Scholarship Offers. Here's What Made His Story Possible

Tupac Mosley overcame homelessness to graduate as valedictorian, writes Jonathan E. Collins, but there’s an overlooked part of his inspirational story: policy.




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Groups seek injunction to stop Idaho transgender sports ban




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Tiny Teaching Stories: 'I Wish I Had Known'

Super-short stories written by teachers about their triumphs and frustrations, and the hilarious or absurd moments from their lives.




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Stop Giving Inexperienced Teachers All the Lower-Level Math Classes, Reformers Argue

“Detracking” math teachers is tough because many educators resist upending their routines or challenging informal hierarchies, and PD initiatives to make it happen are limited.




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Briefly Stated: Stories You May Have Missed

A special state panel in Wisconsin has rejected a financially strapped district's request to dissolve.




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Long History Underlies Fight Over Religious-School Funding

The case being heard by the Supreme Court next week deals with a debate that has raged since the 19th century about federal education funding for private religious schools.




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In Historic Win, Nationally Recognized Teacher Jahana Hayes Elected to U.S. House

The 2016 National Teacher of the Year will represent Connecticut’s 5th district, becoming the first African-American woman from the state to serve in Congress.




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Briefly Stated: Stories You May Have Missed

Education Week catches you up on the week gone by with a thoughtful look at recent news in K-12 education.




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Oregon State lands big commitment from 4-star ILB Easton Mascarenas

Coach Smith is doing a fine job Building the Dam




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Oregon State Beavers land 4-star linebacker Easton Mascarenas

Oregon State gets a commitment from 4-star linebacker.




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Transfer wide receivers bolster Sam Houston State

Sam Houston State has announced the addition of two transfer wide receivers, former Howard standout Jequez Ezzard and Harvard grad transfer Cody Chrest, for their final seasons of eligibility this year. The 5-foot-9, 190-pound Ezzard, from College Park, Georgia, gives the Southland Conference program one of the top big-play pass catchers in the FCS. The 6-foot, 190-pound Chrest, from Houston, broke out last season with 45 receptions and 706 receiving yards, Harvard's team highs.




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Washington: A Love Story

We've got information and images a-plenty, if we want to look at states which might have some educational moxie. Teachers are now talking to each other across district and state boundaries, sharing information about how education policy is impacting their daily practice, where market-based reforms h




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The China Cabinet : and other poems / Christopher Nailer.




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Island life : the story of Clarke Island, 1984-1990 / Dion Perry.

Clarke Island is a windswept place in Eastern Bass Strait. It had no residents and could only be accessed by light plane or boat when weather permitted. Having never seen the place, Dion and his family move there in March of 1984. They arrived with few provisions and few possessions to an old farm house in a poor state of repair. To survive they had to learn to live in harmony with the island by forging a semi self-sufficient life style in which they not only grew a garden and kept milking goats, but learned to live off the bounty of the land and sea.




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Restorative justice : an adjunct to the current punitive justice system / presented by Leigh Garrett, CEO OARS Community Transitions, including the Centre for Restorative Justice.




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Orange-bellied parrot habitat restoration and management project : draft final report / prepared by Lauren Barrow (King Island Natural Resource Management Group Inc.).

"This report is the final report for the Orange-bellied Parrot Habitat Management and Restoration Project carried out on King Island. The report relates to the activity period starting 30th of June 2007 and finishing on the 25th of May 2008."--Introduction.