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Record W2158997562 · doi:10.7202/030233ar

Le jeune adulte au travail : son développement selon les classes sociales

2006· article· fr· W2158997562 on OpenAlexaffvenueabout
Danielle Riverin‐Simard

Bibliographic record

VenueSanté mentale au Québec · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité LavalInstitut Universitaire en Santé Mentale de Québec
Fundersnot available
KeywordsMiddle classClass (philosophy)Social classPsychologyDemographySociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The objective of the present study is to describe the comparative occupational experience of adults from 23-27 years of age and from 28-32 years according to whether they belong to the middle, comfortable or disfavoured socio-economic class. To accomplish this, we interviewed 161 subjects from 23-32 years in the number 03 administrative region (Quebec). Subjects were randomly chosen and divided according to variables of socio-economic class, sex and work sector. Results indicate that the 23-27 years old adults is busy with a "landing" on the job market. Depending on the class, this "landing" is primarily attentive (middle class), discreet (disfavoured class) or manifest (confortable class). The 28-32 years old adult is searching for a promising path. Depending on the case, this search is worthy optional (middle class), oriented towards the viable conditions of the milieu (disfavoured class) or very ambitious (comfortable class).

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)0.001
metaresearch head score (Gemma)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score0.872

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.305
Teacher spread0.275 · 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
Published2006
Admission routes3
Has abstractyes

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