Entries on Transitional Justice Institutions and Organizations
Bibliographic record
Abstract
The Algerian government, headed by President Abdelaziz Bouteflika since 1999, created the Ad Hoc Inquiry Commission in Charge of the Question of Disappearances (Commission d’Enquête ad hoc chargée de la question des disparus) in September 2003. The aim of this six-person presidential commission chaired by lawyer Farouk Ksentini was to investigate disappearances during the armed conflict between the Algerian government, its allied civilian militias, and various Islamist insurgent organizations. From 1992 to 2002, a period known as the “dark” or “black” decade, thousands of Algerians were allegedly abducted by regime forces, pro-government militias, their Islamist opponents, and other armed groups with unclear political agendas (see entry on Algeria). The six members of the Ad Hoc Inquiry Commission, attached to the National Consultative Commission for the Promotion and Protection of Human Rights (Commission Nationale Consultative de Promotion et de Protection des Droits de l’Homme, CNCPPDH), an institution housed under the Algerian presidency, worked for eighteen months, largely in secret. Its confidential report, delivered to President Bouteflika in March 2005, was never made public. The government eventually admitted responsibility for over 6,000 cases – half of all of the suspected disappearances from the civil conflict – and offered the families compensation in lieu of providing substantive details about the fate of their relatives or holding any officials accountable.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.018 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.238 | 0.084 |
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".