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Record W4281740472 · doi:10.3917/agora.091.0007

Jeunesse, récit d’insertion et nécessité de l’étude longitudinale

2022· article· fr· W4281740472 on OpenAlexaff
Jacques Hamel

Bibliographic record

VenueAgora débats/jeunesses · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité de MontréalRéseau Technoscience
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La jeunesse pose problème quand il s’agit de l’envisager sous l’angle sociologique afin de savoir comment les jeunes s’insèrent dans la société ou, plus exactement, dans la vie sociale. En effet, la jeunesse correspond à une courte période de l’existence, sujette aux aléas de l’entrée dans la vie adulte. Comment peut-on, dans ces conditions, saisir la vie d’une personne pour qui l’intégration à la société est en voie de se faire ? Les problèmes, on le devine, sont d’ordre à la fois théorique et méthodologique. Le présent article cherche à les cerner à la lumière de deux enquêtes conduites à dix ans d’intervalle auprès d’une même cohorte de jeunes, en vue d’appréhender concrètement leur insertion sociale et professionnelle au terme de leurs études universitaires. Un retour sur cette expérience qui remonte à plusieurs années met ici au jour la pertinence que peut revêtir une étude longitudinale auprès des jeunes, dont le récit de vie paraît constituer la méthode idéale malgré les difficultés qu’elle ne manque pas de soulever d’entrée de jeu.

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)0.067
metaresearch head score (Gemma)0.110
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: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.355

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0670.110
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0070.004
Scholarly communication0.0060.006
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.186
GPT teacher head0.442
Teacher spread0.256 · 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
Published2022
Admission routes1
Has abstractyes

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