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Record W4213438407 · doi:10.7202/1086017ar

Des « déclassements » volontaires ? Les déterminants de la mobilité subjective d’artisans reconvertis, par-delà les catégories socioprofessionnelles

2021· article· fr· W4213438407 on OpenAlexvenueno aff
Antoine Dain

Bibliographic record

VenueNouvelles perspectives en sciences sociales · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Alors qu’une approche de la mobilité sociale par les nomenclatures socioprofessionnelles pourrait conduire à y voir des formes de « déclassement volontaire », les bifurcations de membres de la catégorie des Cadres et Professions Intellectuelles Supérieures (CPIS) ou d’individus très diplômés (bac +5) vers des métiers artisanaux au recrutement social populaire invitent à interroger plus en détail la perception subjective de ces mobilités atypiques. Cet article vise à mettre en évidence l’absence de sentiment de déclassement chez ces reconvertis et les ressorts de leur mobilité subjective. Ce faisant, il est possible d’interroger le lien entre mobilité professionnelle et mobilité sociale, en mettant en évidence certaines logiques de requalification subjective des métiers artisanaux, l’émergence de nouveaux rapports à la mobilité professionnelle ainsi que l’articulation des catégories socioprofessionnelles avec des registres alternatifs de classement.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.172
GPT teacher head0.479
Teacher spread0.307 · 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 designObservational
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

Citations7
Published2021
Admission routes1
Has abstractyes

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