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Record W3115582863 · doi:10.3917/sas.006.0023

L’empowerment en travail social

2017· article· fr· W3115582863 on OpenAlexaff
Michel Parazelli, Mathieu Bourbonnais

Bibliographic record

VenueSciences & Actions Sociales · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)Université du Québec à Montréal
Fundersnot available
KeywordsHumanitiesAppropriationSociologyEmpowermentPolitical scienceEthnologyPhilosophyEpistemology

Abstract

fetched live from OpenAlex

Du fait de sa polysémie et de ses différents usages, la notion d’empowerment pose encore problème dans le champ épistémique du travail social. Le contenu de cet article vise à enrichir l’analyse critique de la notion en distinguant six perspectives théoriques se réclamant de l’empowerment de façon à souligner leur apport respectif à la compréhension du phénomène d’appropriation du pouvoir en travail social. C’est à partir d’une recherche documentaire que nous présentons une synthèse des six perspectives historiques d’empowerment : conscientisation, féminisme, habilitation, environnementalisme, capabilités et responsabilisation. Si ces perspectives ont le mérite d’identifier un certain nombre de repères cognitifs rendant possible l’appropriation du pouvoir des individus et/ou des collectifs, ceux-ci demeurent sous-développés sur le plan théorique ; le registre idéologique prenant le pas sur le travail de problématisation. Sont ainsi laissés dans l’ombre l’enjeu de la normativité autoritaire du régime d’autonomie-condition et la question du pouvoir que nous avons sur nos propres actes.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.666
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0320.025
Scholarly communication0.0020.003
Open science0.0030.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.195
GPT teacher head0.436
Teacher spread0.241 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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