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Record W1971960255 · doi:10.7202/045029ar

Se déplacer entre les marges et le centre

2010· article· fr· W1971960255 on OpenAlexaffvenue
Jan Gelech, Michel Desjardins

Bibliographic record

VenueFrontières · 2010
Typearticle
Languagefr
FieldPsychology
TopicSocial Representations and Identity
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Le présent article examine la reconstruction du monde vécu de quatre personnes ayant survécu à un traumatisme craniocérébral du point de vue de la théorie des rites de transition développée par Victor Turner (1969, 1982, 1986). Les transcriptions des récits de vie et des entrevues semi-structurées réalisées avec ces quatre personnes ont été analysées d’un point de vue thématique, syntaxique et conceptuel. Ces analyses démontrent que ces personnes ont eu recours après leur accident à trois stratégies principales afin de reconstruire leur monde vécu et leur propre personne : le réalignement, la transcendance et l’intégration dans des marges. Les auteurs présentent l’interaction entre ces stratégies, les bénéfices de la pluralité tactique, l’utilisation variée de ces stratégies au fil des contextes et du temps. Finalement, diverses implications de cette recherche, en ce qui a trait aux conceptions de la réinsertion sociale et à l’organisation des services de réhabilitation, sont soulignées.

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)0.004
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 score0.010
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.012
Scholarly communication0.0040.004
Open science0.0010.005
Research integrity0.0010.002
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 head0.020
GPT teacher head0.333
Teacher spread0.313 · 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

Citations8
Published2010
Admission routes2
Has abstractyes

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