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Record W1956365837 · doi:10.24124/c677/2009193

Quebec’s Family Medicine Groups: Innovation and Compromise in the Reform of Front-Line Care

2009· article· en· W1956365837 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Political Science Review · 2009
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsUniversité LavalPierre Elliott Trudeau FoundationUniversité de Montréal
Fundersnot available
KeywordsFront lineCompromiseHealth careFront (military)Function (biology)Subject (documents)Primary carePublic healthcareHealthcare systemNursingMedicineFamily medicinePublic relationsPolitical scienceBusinessPublic healthPublic administrationLawGeography

Abstract

fetched live from OpenAlex

At their origin, public healthcare systems were designed mainly for the treatment of acute illnesses. For many years, therefore, public health care focused on services offered in healthcare establishments and primary care was allowed to evolve on the periphery of hospitals, with doctors free to follow their own conception of how best to provide and follow up on care. As hospital costs grew, however, and new challenges regarding the provision of care began to emerge, governments felt increasingly responsible for organizing the front line (Nolte and McKee 2008). How doctors would be called upon to participate in the new configuration of services—particularly in Canada, where physicians function as independent entrepreneurs—is the subject of this article, which investigates the decision to introduce family medicine groups (FMGs) to the province of Quebec.

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.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.941
Threshold uncertainty score0.590

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.184
GPT teacher head0.512
Teacher spread0.328 · 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