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Record W2002107583 · doi:10.7202/058047ar

Une analyse du travail de préposées à l’accueil pendant la restructuration des services de santé

2005· article· fr· W2002107583 on OpenAlexvenueaboutno aff
Karen Messing, Ana María Seifert, Diane Elabidi

Bibliographic record

VenueRecherches féministes · 2005
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Au Québec, avec le « virage ambulatoire », la diminution de la durée de séjour à l'hôpital accroît le nombre d'admissions et donc les responsabilités des préposées à l'accueil, qui se doivent d'assurer les contacts entre l'hôpital et des personnes devant y être admises et de faire le suivi des dossiers. À partir d'entrevues collectives et individuelles et de 30 heures d'observation, les auteures ont documenté les échanges verbaux, le contenu des appels téléphoniques, les sources d'interruption et d'autres aspects exigeants de ce travail. Plusieurs aspects « invisibles » de cet emploi sont communs au travail des femmes du secteur des services, celles-ci devant s'occuper des relations avec la population dans un contexte de ressources de moins en moins suffisantes, et ce, dans des conditions qui nuisent à la solidarité entre travailleuses. Par ailleurs, les communications nécessaires dans le cas du travail « émotionnel » exigent une planification et des aménagements qui ne sont pas pris en considération dans la gestion du service.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.945
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0060.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.161
GPT teacher head0.466
Teacher spread0.305 · 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

Citations10
Published2005
Admission routes2
Has abstractyes

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