Confidentiality and the implementation of the decisions of the African Commission on Human and Peoples' Rights
Bibliographic record
Abstract
Implementation Project (Project), http://www.bristol.ac.uk/law/ hrlip/ (accessed 1 April 2019).This project tracked the implementation of decisions from nine states: three in Africa (Burkina Faso, Cameroon and Zambia); three in Europe (Belgium, the Czech Republic and Georgia) and three in the Americas (Canada, Colombia and Guatemala), adopted by UN treaty bodies and the regional human rights commissions and courts.It consisted of documentary analyses, in-country workshops, and over 200 interviews with members and representatives of these supranational bodies, and within the nine states, the government representatives, victims, parliamentarians, the judiciary, civil society organisations and academics.Interviews are anonymous.However, where appropriate, information is given on the profile or location of the interviewee.For further information on our methodology, see Journal of Human Rights Practice, Special
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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 | 0.049 | 0.068 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| 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".