Bibliographic record
Abstract
Maxwell Yalden began his career in the Department of External Affairs; he was posted to Moscow and Paris, and later as ambassador to Belguim. As Canada's Language Commissioner from 1977-1984, he worked to reinforce the Official Languages Act, and language equality, encouraging Canadians to become more inclusive in their attitudes towards both official languages. Chief Commissioner of the Canadian Human Rights Commission from 1987-1996, he also served for eight years as a member of the United Nations Human Rights Committee. Transforming Rights draws on Yalden's extensive experience in rights work to provide a personal assessment of how issues of human rights and language rights have evolved over the past forty years, both within Canada and internationally.Transforming Rights contends that Canadian rights principles reflect a unique history and character and examines the interplay of historical and contemporary Canadian standards with comparable international norms. Yalden argues that Canada's rights achievements demonstrate that though it may not be possible to change beliefs and attitudes through policy and legislation, it is certainly possible to change behaviour - facilitating the expansion of rights. Authoritative and anecdotal, Yalden offers an informed insider's opinion on continuously evolving human rights norms and the impact they have had on the way that people live their lives
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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.037 | 0.055 |
| Scholarly communication | 0.020 | 0.020 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.009 | 0.021 |
| Insufficient payload (model declined to judge) | 0.008 | 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".