MétaCan
Menu
Back to cohort
Record W3198255872 · doi:10.4000/books.pupo.11935

Les assistantes sociales dans la résistance : d’une vocation professionnelle à la déportation

2019· book-chapter· fr· W3198255872 on OpenAlexaff
Cécile Formaglio

Bibliographic record

VenuePresses universitaires de Paris Nanterre eBooks · 2019
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsBibliothèque et Archives nationales du Québec
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

Cet article a pour origine un constat tiré par Philippe Mezzasalma lors du traitement informatique du fichier des adhérentes de l’ADIR : la profession d’assistante sociale fait partie de celles qui reviennent souvent dans les déclarations, avec parfois la mention d’une formation de surintendante d’usine. Ce constat semblait valoir la peine d’être creusé et il entrait en résonnance avec mes propres travaux de recherche sur l’une des fondatrices de l’association des surintendantes d’usines et ...

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)0.005
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.028
Scholarly communication0.0100.008
Open science0.0010.007
Research integrity0.0050.007
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 head0.096
GPT teacher head0.346
Teacher spread0.250 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venuePresses universitaires de Paris Nanterre eBooksSame topicMulticulturalism, Politics, Migration, GenderFrench-language works237,207