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Record W2108947843 · doi:10.7202/1005233ar

Psychologisation ou singularisation? L’intervention sociale au temps de l’accompagnement

2011· article· fr· W2108947843 on OpenAlexaffvenue
Dahlia Namian

Bibliographic record

VenueReflets Revue d’intervention sociale et communautaire · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical scienceSociology

Abstract

fetched live from OpenAlex

L’hypothèse de la psychologisation nourrit la réflexion critique sur l’intervention sociale depuis maintenant quelques décennies, suscitant des mises en garde de toutes sortes à l’égard de l’appauvrissement du social et notamment de l’action collective. Si la mauvaise réputation de la psychologisation n’est plus à démontrer, il semble pertinent et nécessaire en revanche 1) d’élargir la réflexion sur le spectre des possibles qui émergent des dynamiques historiques et sociales contemporaines auxquelles la psychologisation est associée; 2) de replacer le phénomène de la prolifération des pratiques d’accompagnement qui semblent s’appuyer sur une psychologisation croissante des interventions sociales dans un contexte de transformations sociales plus larges et 3) d’ illustrer les liens entre accompagnement et psychologisation à l’aide d’une recherche empirique récente centrée sur l’étude des pratiques d’accompagnement dans deux contextes « d’expérience-limite ».

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)0.009
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.057
Scholarly communication0.0070.007
Open science0.0010.007
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0110.001

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 head0.337
GPT teacher head0.488
Teacher spread0.152 · 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 designTheoretical or conceptual
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

Citations11
Published2011
Admission routes2
Has abstractyes

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