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Record W2428395781

Introduction — Liberté académique en Afrique : entre pouvoirs locaux et bailleurs de fonds internationaux

2012· article· fr· W2428395781 on OpenAlexaff
Hocine Khelfaoui, Ibrahim Oanda Ogachi

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican Studies and Ethnography
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Ce numero revient sur un theme certes recurrent, mais si important, celui des libertes academiques en Afrique. Dans la plupart des pays de ce continent, les libertes academiques sont menacees surtout par des autorites politiques qui redoutent cette quete incessante de verite, inherente a toute activite de recherche scientifique. Involontairement ou non, les scientifiques peuvent necessairement, avec leurs decouvertes, inventions ou innovations, mettre en cause des discours sociopolitiques dominants, voire des detenteurs de savoirs ou de technologies entres en obsolescence. C’est la raison pour laquelle les scientifiques, comme enonce par l’UNESCO, « devraient pouvoir exercer leurs fonctions sans subir de discrimination d’aucune sorte ni avoir a craindre de mesures restrictives ou repressives de la part de l’Etat ou de toute autre source ». Mais commencons par ce constat : les restrictions et interdits exerces sur les libertes academiques ne sont plus le monopole du continent africain ou des pays dits « en voie de developpement » ; meme dans les pays occidentaux, d’eminents scientifiques sont desormais sanctionnes ou contraints de renoncer a certaines decouvertes scientifiques qui mettent en cause des interets commerciaux. Certes, a cette nuance pres que dans ces pays, les atteintes a la liberte academique affectent surtout les scientifiques dont les travaux mettent en cause des interets non pas politiques mais economiques et financiers dominants; c’est que la mondialisation, devenue

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.836
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.295
Teacher spread0.279 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2012
Admission routes1
Has abstractyes

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