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Record W3001192718

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2013· article· fr· W3001192718 on OpenAlexvenueno aff
Laurence Faure, Éliane Le Dantec

Bibliographic record

VenueEnfances Familles Générations · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Dans nos societes contemporaines, la mobilite est elevee au rang de qualite cardinale et, a l'inverse, l'ancrage renvoie au lexique negatif du manque de dynamisme. Les parcours des jeunes de milieux populaires que nous avons enquetes par entretiens laissent distinctement entrevoir que la mobilite n'est pas une posture individuelle et sociale plus positive que l'ancrage. Les jeunes mobiles, a la difference des ancres, sont plutot en situation de rupture familiale et ne disposant pas de soutiens rapproches sur lesquels s'appuyer, leurs pratiques de mobilite procedent bien plus de contraintes que d'un choix construit et anticipe. Inversement, les jeunes de milieux populaires qui ne sont pas mobiles et prolongent la cohabitation au domicile parental sont en situation de pouvoir beneficier des solidarites familiales qui leur permettent, faute d'acceder a l'independance economique et residentielle par l'entree dans l'activite professionnelle stable, d'attendre en etant securises materiellement et affectivement. L'article souligne par ailleurs les ambivalences attachees tant aux pratiques de mobilite qu'a l'ancrage territorial.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.090

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 studies0.0100.010
Scholarly communication0.0080.006
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0270.008

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 head0.041
GPT teacher head0.298
Teacher spread0.257 · 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
Published2013
Admission routes1
Has abstractyes

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