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Record W4285038272 · doi:10.4000/itineraires.11302

Nini et les autres : identité métisse chez Abdoulaye Sadji, Albert Russo et David Ndachi Tagne

2022· article· fr· W4285038272 on OpenAlexaboutno aff
Constantin Sonkwé Tayim

Bibliographic record

VenueItinéraires · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Cet article examine la perception de l’identité métisse chez Abdoulaye Sadji, David Ndachi Tagne et Albert Russo. Abdoulaye Sadji fait partie des premiers auteurs d’Afrique subsaharienne à s’intéresser de près à l’identité métisse. Alors que Russo est connu pour son esthétique de l’hybridité, Ndachi Tagne, journaliste, est peu connu des milieux littéraires. Les trois auteurs représentent le métis comme expression de l’impensé colonial, mais surtout comme moment de déconstruction du projet colonial de ségrégation raciale. Abdoulaye Sadji soulève les problèmes identitaires liés à l’existence de la métisse, décrivant ainsi l’espace intermédiaire qu’elle constitue comme une sorte d‘impasse, symbole d’une colonisation fondée sur la séparation des communautés noire et blanche. Ndachi Tagne défend une approche pessimiste qui prédit à l’identité métisse un destin sombre. Russo dépeint également les problèmes liés au métis comme espace de croisement, mais voit aussi en lui une opportunité, la porte ouverte sur une réalité postcoloniale décomplexée. Mais Russo suggère que pour garder le métis en vie, il faut le soustraire au passé colonial et l’inscrire dans une vision du futur.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.009
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.023
GPT teacher head0.299
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2022
Admission routes1
Has abstractyes

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