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Record W2220383440 · doi:10.18192/uojm.v4i1.1040

Healthcare is political: case example of physician advocacy in response to the cuts to refugees’ and claimants’ healthcare coverage under the Interim Federal Health Program

2014· article· en· W2220383440 on OpenAlexaffvenueabout
Rebecca Warmington, Dolly Lin

Bibliographic record

VenueUniversity of Ottawa Journal of Medicine · 2014
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsInterimHealth carePoliticsGovernment (linguistics)Public relationsPolitical scienceMedicinePublic administrationImpartialityLaw

Abstract

fetched live from OpenAlex

“Healthcare is political.” That phrase seems obvious. While healthcare is constitutionally a provincial responsibility, it has become a hallmark of Canadian federalism with all levels of government taking part in its function. Furthermore, it has become one of the core Canadian values, with Canadians continuing to place healthcare as the strongest symbol of their national identity. Yet, as future physicians, medical students are wary of “getting political” in fear of taking sides, loosing impartiality, and losing focus on patient care. However, political actions and issues can have a significant impact on the clinical practices of all physicians. This article will argue that changes to the Interim Federal Health Program (IFHP) have hindered the ability of physicians to provide best practice, evidence-based medicine, and will outline how members of the medical profession, including University of Ottawa medical students, have played an important role in advocating for those affected by the changes to the IFHP.

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 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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.363
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.049
GPT teacher head0.420
Teacher spread0.371 · 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 teacher head, 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

Citations2
Published2014
Admission routes3
Has abstractyes

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