Communities, Development, and Sustainability across Canada
Bibliographic record
Abstract
What is a sustainable community? The pressing need to answer this simple question is what prompted John Pierce and Ann Dale to gather the essays in this volume. Communities, Development, and Sustainability across Canada is a timely synthesis of work on how Canadian communities can achieve sustainable development. It bridges the gap between theory and praxis and brings together academics, policy makers, and community activists, all of whom have argued for increased local participation in sustainable community development. Communities have become the weak link in efforts to refashion relations between the environment and the economy. The goal of this book is not simply to describe problems but also to suggest answers, not simply to offer theory but also to promote action, so that Canadian communities can better achieve sustainable development. The twelve essays are organized into four sections: Vision, Connections, Action, and Assessing Progress. The first and last sections discuss local sustainable development within the context of increasing globalization. The second section approaches sustainable development from the perspective of social evolution and urban systems. The third section, the heart of the book, is comprised of three community case studies, an assessment of the Pacific salmon fishery, and four general discussions of sustainable development. The conclusion reiterates the need to make communities stronger links in sustainable development. The message of Communities, Development, and Sustainability across Canada is clear: it is time for communities themselves to act if they are to achieve sustainable development. This provocative and persuasive book will prove to be a valuable guide to taking the first steps.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.031 | 0.008 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".