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Record W4210653862 · doi:10.7202/1085570ar

Jeunes au travail en France : en quête d’une place

2022· article· en· W4210653862 on OpenAlexvenueno aff
Sandra Gaviria, David Mélo

Bibliographic record

VenueRevue Jeunes et Société · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomyWork (physics)SociologyPsychologyPolitical science

Abstract

fetched live from OpenAlex

It is often said, especially by those in management, that young people lack commitment to work. Based on a recent study conducted in France involving interviews with 60 individuals under the age of 30 who have obtained at least a secondary school diploma (baccalauréat) and who are neither “high fliers” nor particularly vulnerable, this article sets out to assess the truth of such claims. Drawing and building on already published research, the analysis pushes beyond conventional ideas to provide a more comprehensive view of youth attitudes towards work. It therefore aims to gain a deeper understanding of young people’s concrete relationships with work by examining their work experiences and career strategies. The interview data show that young people are prepared to work within a hierarchical management structure and, on occasion, to tolerate difficult working conditions and unfavourable terms of employment. All things considered, they appear interested in finding a place in the professional world, especially insofar as work is commonly seen as a pathway to autonomy.

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)0.003
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 score0.344
Threshold uncertainty score0.683

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0080.005
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.100
GPT teacher head0.436
Teacher spread0.336 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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