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Record W4293141912 · doi:10.7202/1088311ar

Émotions et intervention sociale : naviguer entre valeurs, éthique et techno-bureaucratie

2021· article· fr· W4293141912 on OpenAlexaff
Carolyne Grimard, Judith Sigouin, Sophie Hamisultane, Sue-Ann MacDonald

Bibliographic record

VenueIntervention · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophySociologyEthnology

Abstract

fetched live from OpenAlex

En travail social, les émotions ont une place dans la profession : elles sont encadrées pour limiter leurs manifestations dans la relation entre le professionnel et le bénéficiaire. Or, les émotions ont tendance à disparaître dans la manifestation scientifique (recherche) ou politique (analyse des politiques sociales) de cette discipline. Avec la rationalité gestionnaire et les nouvelles pratiques de management (Bellot, Bresson et Jetté, 2013), les émotions n’ont de toute façon que très peu de place dans les prises de décisions qui se veulent objectives, neutres et égalitaires envers toutes les personnes bénéficiaires. Notre article soulève diverses questions : comment la capacité d’agir des intervenants sociaux est-elle influencée par la difficulté de la prise en compte des émotions? Sommes-nous face à un possible changement de paradigme où la techno-bureaucratie, comme champ d’application des décisions politiques, est arrivée à l’une de ses limites dans le champ de l’intervention sociale? À partir d’exemples de pratiques de trois enquêtes menées par les autrices où la question des émotions s’est avérée centrale dans les interventions, mais n’a pu être prise en compte, nous verrons comment les émotions dans les interventions sociales se butent aux normes professionnelles et managériales.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.645
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.160
GPT teacher head0.488
Teacher spread0.327 · 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 teacher head, not a consensus.

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

Citations6
Published2021
Admission routes1
Has abstractyes

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