MétaCan
Menu
Back to cohort
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 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)0.008
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.069
Scholarly communication0.0100.010
Open science0.0010.009
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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; 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 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

Explore more

Same venueSciences & Actions SocialesSame topicSocial Sciences and GovernanceFrench-language works237,207