Human Rights and Constitutional Reform: Lessons from Contemporary Chile
Bibliographic record
Abstract
José Aylwin is speaking at Notre Dame Law School in 1140 Eck Hall of Law on Tuesday, November 8, 2016 at !2:30 p.m. José Aylwin is a human rights lawyer, and teaches Indigenous Peoples' Rights at the School of Law of the Universidad Austral de Chile. Educated at the Faculty of Law of the University of Chile in Santiago (1981) and at the School of Law of the University of British Columbia (Canada), where he obtained a Master in Laws degree (1999), he has researched and published for different academic and human rights institutions internationally. He currently acts as Co-director of the Observatorio Ciudadano (Citizens' Watch), an NGO aimed at documenting, promoting and protecting human rights in Chile. He also is a member of the board of the National Institute for Human Rights of Chile and provides legal advise for the International Work Group on Indigenous Affairs (IWGIA).
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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.009 | 0.024 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.014 | 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".