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Record W7133022719

Evaluating international adult education programs in health: a case study of the Chile-Canada primary health care training program

2003· dissertation· W7133022719 on OpenAlexaboutno aff
Monica Riutort

Bibliographic record

VenueTSpace · 2003
Typedissertation
Language
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
Fundersnot available
KeywordsPrimary careHealth carePrimary health careWork (physics)Program evaluationCommunity healthTraining (meteorology)Qualitative researchAdult education
DOInot available

Abstract

fetched live from OpenAlex

This study sought to evaluate the content, process and outcomes of the Chile-Canada Primary Health Care Training Program developed by the Department of Family and Community Medicine of the University of Toronto. All of the participants (interns) were Chilean primary health care professionals who flew to Toronto to participate in the six-week program between 1999 and 2002. The proposed methodology of this study was purely qualitative; however, as the study developed, it made more sense to triangulate the analysis combining both qualitative and, quantitative methods. The majority of interns reported positive attitudes toward the training program's adult education methodology. The benefits of the program included the acquisition of skills and tools in three key areas of primary health care: interdisciplinary teamwork, community work and evidence-based medicine. These acquired skills were seen to be beneficial to patient care and likely to enhance professional working relationships and strengthen community work and advocacy.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score0.821

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.002
Scholarly communication0.0020.001
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.124
GPT teacher head0.495
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2003
Admission routes1
Has abstractyes

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