Bibliographic record
Abstract
The following article was originally presented as the inaugural lecture of the Willms and Shier Speaker Series in Environmental Law, in collaboration with the Centre for Environmental Law and Global Sustainability in the Faculty of Law at the University of Ottawa on 29 September 2015 by the Honourable Justice Stephen T. Goudge. Reflecting on the lessons and impacts of the McKenzie Valley Pipeline Inquiry, chaired by then Justice Thomas Berger, the article considers the lasting impact of the Berger Inquiry forty years later, including the successful recommendation to abandon plans to develop the north slope of the Yukon, in favour of conservation. The Berger Inquiry has had lasting social impacts by contributing to the rise of a collective northern voice and highlighting the fundamental importance of Indigenous interests in charting the future. In his postscript, Justice Goudge adds his hope that the Missing and Murdered Indigenous Women Inquiry will emulate the Berger Inquiry in three fundamental ways: by developing inquiry processes that build trust among those most affected; by proposing expeditious and timely recommendations; and, most importantly, by doing what is right.
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 | 0.015 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.027 | 0.048 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.011 | 0.013 |
| Insufficient payload (model declined to judge) | 0.005 | 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".