Bibliographic record
Abstract
Prologue: Notes from Prison - Protecting Algonquin Lands from Uranium Mining / Robert Lovelace Introduction: Speaking for Ourselves, Speaking Together - Environmental Justice in Canada / Randolph Haluza-DeLay, Pat O'Riley, Peter Cole, and Julian Agyeman 1 Honouring Our Relations: An Anishnaabe Perspective on Environmental Justice / Deborah McGregor 2 Reclaiming Ktaqamkuk: Land and Mi'kmaq Identity in Newfoundland / Bonita Lawrence 3 Why Is There No Environmental Justice in Toronto? Or Is There? / Roger Keil, Melissa Ollevier, and Erica Tsang 4 Invisible Sisters: Women and Environmental Justice in Canada / Barbara Rahder 5 The Political Economy of Environmental Inequality: The Social Distribution of Risk as an Environmental Injustice/ S. Harris Ali 6 These Are Lubicon Lands: A First Nation Forced to Step into the Regulatory Gap / Chief Bernard Ominayak, with Kevin Thomas 7 Population Health, Environmental Justice, and the Distribution of Diseases: Ideas and Practices from Canada / John Eyles 8 Environmental Injustice in the Canadian Far North: Persistent Organic Pollutants and Arctic Climate Impacts / Sarah Fleisher Trainor, Anna Godduhn, Lawrence K. Duffy, F. Stuart Chapin III, David C. Natcher, Gary Kofinas, and Henry P. Huntington 9 Environmental Justice and Community-Based Ecosystem Management / Maureen G. Reed 10 Framing Environmental Inequity in Canada: A Content Analysis of Daily Print News Media / Leith Deacon and Jamie Baxter 11 Environmental Justice as a Politics in Place: An Analysis of Five Canadian Environmental Groups' Approaches to Agro-Food Issues / Lorelei L. Hanson 12 Rethinking Green Multicultural Strategies / Beenash Jafri 13 Coyote and Raven Talk about Environmental Justice / Pat O'Riley and Peter Cole Index
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.059 | 0.014 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.008 | 0.014 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".