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Record W4386105389 · doi:10.1017/9781108678537.007

Entries on Transitional Justice Institutions and Organizations

2023· book-chapter· en· W4386105389 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsCommissionPolitical sciencePresidencyGovernment (linguistics)Public administrationLawEconomic JusticeTransitional justicePresidential systemPolitics

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.975
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.053
GPT teacher head0.195
Teacher spread0.142 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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