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Record W1936753536 · doi:10.7202/017791ar

Capital social et ambivalence intergénérationnelle : le soutien parental aux jeunes qui ont quitté les études secondaires sans diplôme1

2008· article· fr· W1936753536 on OpenAlexaffvenue
Marc Molgat

Bibliographic record

VenueEnfances Familles Générations · 2008
Typearticle
Languagefr
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical scienceAmbivalenceSociologyPhilosophyPsychologySocial psychology

Abstract

fetched live from OpenAlex

Le présent article met en évidence les dynamiques relationnelles entre des jeunes et leurs parents dans la production du capital social pouvant faciliter l’insertion professionnelle. Le cas étudié concerne plus spécifiquement de jeunes adultes (n=32) ayant délaissé leurs études secondaires et que nous avons interviewés de quatre à six ans après leur départ de l’école. Bien que dernièrement les relations entre les jeunes et leurs parents soient surtout décrites en termes d’entente intergénérationnelle, la notion d’ambivalence intergénérationnelle permet de mieux rendre compte des relations parents-enfants au moment de l’abandon des études et, par la suite, au cours du processus d’insertion professionnelle. L’analyse montre que l’absence d’ambivalence ou les possibilités de la tolérer et de la résoudre apparaissent comme des conditions essentielles à la production du capital social. Le niveau de scolarité des parents semble avoir peu d’incidence sur ces dynamiques.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0000.001
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 head0.034
GPT teacher head0.307
Teacher spread0.272 · 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

Citations5
Published2008
Admission routes2
Has abstractyes

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