International Human Rights Fact-finding Praxis in its Living Forms: A TWAIL Perspective
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
International human rights fact-finding (hereinafter "IHRFF") has been defined, rather generously, as: A method of ascertaining facts through the evaluation and compilation of various information sources ... [which] serves to illuminate the circumstances, causes, consequences and aftermath of an event from a systematic collection of facts. Understood in this way, IHRFF is not a new activity. Rather, various organizations, groups, and entities have engaged in it for a very long time. Indeed, issues relating to its ways and means, conceptual and operational problems, and best practices have occupied the attention of many practitioners, and cringed the brows of many of scholars, for a fairly long time. However, recent years have witnessed an increased deployment of IHRFF in response to alleged violations of human rights in a range of climes. This may be a possible justification for the renewed attention that it appears to receiving among academics and practitioners alike. In particular, given the increasing salience of IHRFF and the tremendous power that its practitioners can increasingly exert in both domestic and world affairs, contemporary scholarly commentators appear to be justified in renewing their quest to understand IHRFF and, if necessary, stimulate its thoughtful reform. This article is a modest attempt to contribute to the emergent process of the renewed study of that praxis.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it