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Record W4390927495 · doi:10.1515/9780776625645-010

Chapter 7 Offering Health Services in French: Between Obstacles and Favourable Factors in Anglophone Hospital Settings

2017· book-chapter· en· W4390927495 on OpenAlexaff
Éric Forgues, Boniface Bahi, Jacques L. Michaud

Bibliographic record

VenueUniversity of Ottawa Press eBooks · 2017
Typebook-chapter
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsUniversité de Saint-BonifaceUniversity of Alberta
Fundersnot available
KeywordsMedicineBusinessNursing

Abstract

fetched live from OpenAlex

T his chapter highlights the social and organizational factors encouraging the active offer of French-language health services by professionals working in predominantly Anglophone health facilities.We present a sociological perspective inviting people to consider the complexity of the socio-organizational environment in which health professionals work.Their language abilities seem to be insufficient to ensure services are provided in both languages.The commitment of the administrators and managers, the management of services and human resources, labour relations, the availability of bilingual staff, and the legal and political context must be considered if we are to understand the delivery of French-language health services in all its facets.In a broader perspective, these factors inevitably reflect the social relations that exist between Anglophones and Francophones.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.056
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0050.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.074
GPT teacher head0.330
Teacher spread0.256 · 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 designObservational
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

Citations1
Published2017
Admission routes1
Has abstractyes

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