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Record W4200124268 · doi:10.46747/cfp.6712923

Integrating social justice advocacy into a family health team

2021· article· en· W4200124268 on OpenAlexaffvenueabout
Rami Shoucri, Kathryn Dorman, Samantha Green, Gary Bloch, Alyssa Swartz

Bibliographic record

VenueCanadian Family Physician · 2021
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsPublic relationsEconomic JusticeSocial justiceHealth carePatient advocacyPolitical scienceSocioeconomic statusSociologyMedicineCriminologyMEDLINEEnvironmental healthLawPopulation

Abstract

fetched live from OpenAlex

PROBLEM ADDRESSED: Health is largely determined by socioeconomic factors. Health care providers can potentially address these factors through social justice advocacy. However, many individual providers and teams have not taken on this role in Canada. OBJECTIVE OF PROGRAM: To address identified barriers in integrating social justice advocacy into the practice of individual health care providers and interdisciplinary teams. PROGRAM DESCRIPTION: An Advocacy Tool Kit was created in 2017 to build individual capacity for social justice advocacy. An advocacy framework was adopted in 2018 that reiterated the commitment of the Department of Family and Community Medicine at St Michael's Hospital in Toronto, Ont, to social justice advocacy and outlined 2 new processes: to adopt and implement specific departmentwide campaigns to advocate for social justice; and to respond to inquiries about social justice issues and external advocacy campaigns. CONCLUSION: The initiatives have helped integrate social justice advocacy into the core activities of the interdisciplinary primary care team and can likely be replicated by other interested groups across the country.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.831
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.034
GPT teacher head0.402
Teacher spread0.368 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes3
Has abstractyes

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