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Record W4415522920 · doi:10.7202/1121167ar

Les trames de fond de la réussite : des normes sociales qui singularisent les parcours de vie

2024· article· fr· W4415522920 on OpenAlexaffvenueabout
María Eugenia Longo, Patricia Dionne, Sylvain Bourdon

Bibliographic record

VenueSociologie et sociétés · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsContext (archaeology)Social relationshipPower (physics)Politics

Abstract

fetched live from OpenAlex

Si une part de la singularisation des parcours de vie observée depuis quelques décennies peut être attribuée aux arbitrages subjectifs et au détachement des individus vis-à-vis des institutions, les récurrences et inégalités sous-jacentes laissent y entrevoir une persistance des influences sociétales. Afin de cerner ces influences, cet article s’intéresse aux normes sociales qui sous-tendent les conceptions de la réussite en analysant un ensemble de 56 entretiens menés auprès d’adultes de différents âges résidant au Québec. L’analyse met en lumière le caractère relativement hétérogène de ces conceptions, qui peuvent varier entre les sphères de vie et dans le temps. Elle fait aussi ressortir trois normes qui fondent les conceptions de la réussite : l’intériorité, le bonheur et la différenciation de soi. Tandis que ces normes reflètent la prégnance du modèle néolibéral, elles reflètent aussi une société marquée par l’individuation, qui fait reposer sur l’individu l’entière responsabilité de ses choix et de ses différences, permettant à la fois l’uniformisation et la différenciation des parcours singuliers.

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)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.025
Scholarly communication0.0050.005
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.333
GPT teacher head0.542
Teacher spread0.210 · 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 designNot applicable
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
Published2024
Admission routes3
Has abstractyes

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