Bibliographic record
Abstract
Becoming a Human Rights City which led to the establishment of the John Humphrey Centre for Peace and Human Rights.Since 2005 the core work of the John Humphrey Centre has focused on building from the centre out-that is, building a human rights community.Since its inception the centre's work has grown to cover the province of Alberta, to stretch throughout the prairies, and now to reach across Canada.It made a commitment to build Edmonton as a true "human rights city," a place where everyone participates, belongs, and is included.In doing so, the centre joined an emerging movement of other cities across the world that included Rosario in Argentina and Graz in Austria, and has been inspired by Shulamith Koenig and the People's Movement for Human Rights Education. 1 At the John Humphrey Centre we made a commitment to inspire learning on human rights, for human rights are the most real in those spaces closest to home.In Eleanor Roosevelt's words:Where, after all, do universal human rights begin?In small places, close to home-so close and so small that they cannot be seen on any map of the world.Yet they are the world of the individual person: The neighborhood he [sic] lives in; the school or college he attends; the factory, farm or office where he works.Such are the places where every man, woman, and child seeks equal justice, equal opportunity, equal dignity without discrimination.Unless these rights have meaning there, they have little meaning anywhere.Without concerted citizen action to uphold them close to home, we shall look in vain for progress in the larger world. 2 The following is a reflection on the work of the John Humphrey Centre over the past 15 years to build human rights "spaces" at home in Edmonton, Alberta.In this time the centre has worked across many communities and sectors, which has resulted in the growth of a framework of theory and practice that informs its work.What has become clear in this journey is that human rights are the one thing that binds us and gives us a collective framework for demanding accountability and renée vaugeOiS
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.013 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.026 | 0.006 |
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".