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Record W4301515748 · doi:10.4000/books.pupo.22997

La difficile transmission d’une mémoire des luttes. Expérience d’un militant

2018· book-chapter· fr· W4301515748 on OpenAlexaff
Farid Taalba

Bibliographic record

VenuePresses universitaires de Paris Nanterre eBooks · 2018
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsAssociation Québécoise des Enseignantes et des Enseignants du Primaire
Fundersnot available
KeywordsMilitantPolitical scienceLaw

Abstract

fetched live from OpenAlex

Je suis amené à m’interroger sur la transmission d’une mémoire des luttes à travers mon propre parcours militant qui affirme s’affilier aux luttes de l’immigration et des banlieues, celles qui l’ont précédé puis celles dans lesquelles je me suis engagé jusqu’à aujourd’hui. Aussi qu’entend-on par transmission d’une mémoire des luttes ? De quelle mémoire et de quelles luttes parle-t-on ? Quelle est cette mémoire dont il s’agit de faire connaître l’existence par une transmission qui sous-entend...

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)0.005
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: none
Teacher disagreement score0.016
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.015
Scholarly communication0.0080.006
Open science0.0010.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0110.002

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 head0.070
GPT teacher head0.330
Teacher spread0.259 · 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
Published2018
Admission routes1
Has abstractyes

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