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Record W7155094181 · doi:10.3917/savo.038.0109a

Martine Morisse et Louise Lafortune (dir.) (2014). L’écriture réflexive. Objet de recherche et de professionnalisation . Québec : Presses de l’Université du Québec, xx-146 p.

2015· article· fr· W7155094181 on OpenAlexaboutno aff
Véronique Leclercq

Bibliographic record

VenueSavoirs · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Work (physics)Field (mathematics)Agency (philosophy)

Abstract

fetched live from OpenAlex

Cet article s’attache à décrire des mécanismes sociaux éclairant un accès différencié à la formation continue pour des ouvriers. Une classification des actions de formation permet de mettre à distance les discours institutionnels empreints des logiques libérales portant sur la formation dans l’entreprise. La formation est d’abord envisagée de manière autonome, comme espace social ayant ses logiques propres, entraînant des conditions de possibilité d’accès socialement variées. L’analyse des modes de transmission des savoirs met en évidence l’incursion de la « forme scolaire » en entreprise. La formation continue est ensuite considérée comme objet hétéronome, indissociable des évolutions de l’organisation du travail, faisant apparaître d’inégales chances pour les ouvriers de faire face à ces mutations. Les analyses sont développées à partir de données issues d’une enquête de terrain dans une entreprise de l’industrie agroalimentaire.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.851
Threshold uncertainty score0.300

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0050.003
Scholarly communication0.0060.006
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0360.012

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 head0.100
GPT teacher head0.365
Teacher spread0.265 · 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 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
Published2015
Admission routes1
Has abstractyes

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