MétaCan
Menu
Back to cohort
Record W1976311631 · doi:10.5402/2013/931265

Is There a Need for Men's Health Training for Family Physicians in Canada?

2013· article· en· W1976311631 on OpenAlexaffabout
Andries Muller, Vivian R. Ramsden, G. H. White

Bibliographic record

VenueISRN Family Medicine · 2013
Typearticle
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsRegina General HospitalUniversity of Saskatchewan
Fundersnot available
KeywordsTraining (meteorology)Family medicineMedical educationPsychologyGerontologyMedicineGeography

Abstract

fetched live from OpenAlex

Objective. The goal of this study was to explore which topics were rendered important to incorporate into a men's health curriculum for family medicine resident training. Design. A mixed-methodology was used. A case study method with a sequential transformative strategy was utilized. A quantitative survey was sent to the 17 program directors of Canadian family medicine training programs. This was followed by a qualitative phase with interviews of selected program directors and two focus groups with practicing family physicians from a rural and an urban clinic. Main Findings. Certain issues were identified for incorporation into a men's health curriculum for family medicine resident training. These issues were grouped in three groups: male sexual and reproductive health, general topics, and procedures specific to men's health. Conclusion. It appears that there is no formal curriculum to address any of these issues in any of the current family medicine training programs in Canada. Based on the information gathered from participants in this study, there is a great need for such a curriculum to exist.

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)0.000
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 score0.483
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.166
GPT teacher head0.371
Teacher spread0.206 · 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

Citations0
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueISRN Family MedicineSame topicSex and Gender in HealthcareFrench-language works237,207