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Record W2125390588 · doi:10.7202/014450ar

Capacité d’agir sur sa vie et inflexion des lignes biographiques : le point de vue des femmes itinérantes

2007· article· fr· W2125390588 on OpenAlexaffvenue
Danielle Laberge, Daphné Morin, Shirley Roy, Marielle Rozier

Bibliographic record

VenueSanté mentale au Québec · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Penser l'itinérance comme processus ouvre sur deux grandes questions. Comment peut-on empêcher ce processus de déqualification d'arriver à son terme ultime (le fait de se trouver dans la rue avec une identité itinérante) ? il s'agit alors de prévention. Comment peut-on (ré)instaurer un processus inverse permettant de modifier la condition d'itinérant ? on parle alors de (ré)insertion ou de (ré)affiliation. La réponse à ces questions ne peut se limiter à la seule inversion des processus généraux ou particuliers ayant mené à l'itinérance. Dans cet article, nous nous intéressons à cette seconde question, c'est-à-dire celle de la mise en oeuvre d'un processus d'inflexion de l'itinérance. Ce processus de transformation ne s'organise pas selon un modèle linéaire et progressif, mais se développe plutôt à travers l'enchevêtrement d'essais personnels, d'expériences positives et d'événements significatifs entraînant des inflexions biographiques reconfigurant en quelque sorte l'histoire de vie. Notre matériau d'analyse est constitué de discours des femmes itinérantes (31 entrevues non directives). Nous rendons compte des formes distinctes de représentations de l'action dans une typologie comportant trois figures : 1) le fatalisme ; 2) l'impuissance ; 3) l'appropriation.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.008
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.042
GPT teacher head0.298
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

Citations7
Published2007
Admission routes2
Has abstractyes

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