Workshop: Canadian-Nigerian Human Rights Cooperation (1999-2011) (April 2014)
Bibliographic record
Abstract
hursday, May 8 – Saturday, May 10, 2014 Background and Conference Theme\nThe Osgoode-Nathanson/NIALS/CENSOJ Partnership Development will be holding a workshop on May 8-10, 2014 at Osgoode Hall Law School. The workshop, hosted by the Nathanson Centre, will focus on Canadian-Nigerian human rights cooperation between 1999 and 2011.\nLed by Professor Obiora Okafor (Osgoode/Nathanson), Professor Dakas C.J. Dakas (NIALS) and Mr. Eze Onyekpere (CENSOJ), the workshop is part of a four-year collaborative research and dissemination project funded by the Social Sciences and Humanities Research Council of Canada. The purpose of this workshop is to engage in joint academic debate and knowledge mobilization about the nature, attainments, problems and prospects of human rights cooperation between Canada and Nigeria.\nDraft analytical papers reporting the preliminary results of the field research conducted so far by our joint research team in Canada and Nigeria will form the starting point of the discussions at the workshop.\nIf you are interested in participating in the workshop, or for further information, please contact conference coordinator Terrine Friday at terrinefriday@osgoode.yorku.ca. Second Osgoode/NIALS/CENSOJ Partnership Development Program Workshop\nCanadian-Nigerian Human Rights Engagements: A Critical AssessmentJune 1-2, 2015Venue: The National Judicial Institute, Airport Road, Abuja\nConference Programme\nSee attached file.\nConference Papers\nSee additional files.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.087 | 0.009 |
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".