MétaCan
Menu
Back to cohort

The Contribution of Family Medicine and Family Medicine Leaders to Primary Health Care Development in Americas - from Alma-Ata to Astana and beyond

2020· article· en· W3014659224 on OpenAlexaffabout
David Ponka, Neil Arya, Valérie Malboeuf, Christine Leung, C. Ruth Wilson, Kerling Israel, Adelson Guaraci Jantsch, María Sofía Cuba-Fuentes, Ophelia Michaelides, Katherine Rouleau

Bibliographic record

VenueCiência & Saúde Coletiva · 2020
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsUniversity of OttawaMcMaster UniversityCollege of Family Physicians of Canada
Fundersnot available
KeywordsFamily medicineEpidemiological transitionFace (sociological concept)Primary careHealth careMedicineFamily healthPopulationPublic healthNursingPolitical scienceSociologyEnvironmental healthSocial scienceLaw

Abstract

fetched live from OpenAlex

Since 2012, the Besrour Centre for Global Family Medicine at the College of Family Physician of Canada has brought together its partners from the Americas annually, to reflect on the evolution of Family Medicine on the continent since Alma-Ata, and to look forward to future challenges. Family doctors are but one element of a strong health system. Family Medicine provides key ingredients to respond to population health needs especially as countries move through the epidemiological transition to face larger burdens of chronic disease and multimorbidity. In this paper, we provide a high-level overview of the state of Family Medicine on the continent. We then analyze trends in the education of family physicians to face this changing landscape, including the emphasis on the leader role of future family physicians. Postgraduate programs in Family Medicine in the Americas are placing increasing emphasis on teaching collaborative care in view of creating truly interdisciplinary health teams for the benefit of patients.

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)0.001
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.361
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.090
GPT teacher head0.410
Teacher spread0.320 · 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

Citations8
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueCiência & Saúde ColetivaSame topicPrimary Care and Health OutcomesFrench-language works237,207