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Record W4399451166 · doi:10.7202/1111617ar

La construction de l’identité professionnelle en travail social : des rapports sociorelationnels et de la reconnaissance

2024· article· fr· W4399451166 on OpenAlexaff
Danielle Desmarais, François-Xavier Charlebois, Olivia Brünger, Myriam Dubé, Audrey Beauchemin, Antoine Dubé-Poitras, R Gómez Lucas

Bibliographic record

VenueIntervention · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité du Québec à Trois-RivièresMinistère de l’Emploi et de la Solidarité Sociale (Québec)Université du Québec à Montréal
Fundersnot available
KeywordsHumanitiesSociologyPolitical scienceArt

Abstract

fetched live from OpenAlex

Prenant appui sur une dialectique de repères théoriques multidisciplinaires et une démarche autobiographique de petit groupe (DAPG) comprenant huit récits de vie d’apprenantes inscrites aux études supérieures en travail social, les connaissances présentées dans ce texte montrent que l’identité professionnelle en travail social se construit et évolue au cours de l’ensemble du parcours de vie. Elle est traversée par de multiples tensions, à plusieurs niveaux, notamment entre l’identité personnelle et l’identité professionnelle, entre sa propre histoire de vie et celle des destinataires de l’intervention, et, enfin, entre les organisations et les personnes qui y travaillent. L’identité professionnelle se construit de deux points de vue : celui du sujet-acteur et celui d’autrui. Ainsi, la construction de l’identité professionnelle en travail social évolue entre le désir, le besoin et l’exigence de reconnaissance. Un schéma de la nouvelle théorisation de la construction de l’identité professionnelle en travail social est proposé, lequel constitue l’aboutissement de la DAPG.

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)0.006
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0080.042
Scholarly communication0.0120.013
Open science0.0020.008
Research integrity0.0040.004
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 head0.031
GPT teacher head0.384
Teacher spread0.352 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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