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Record W2782586068 · doi:10.1192/s174936760000686x

Postgraduate psychiatry training for global mental health: a Canadian experience

2004· article· en· W2782586068 on OpenAlexaffabout
Sonia Chehil, Stan Kutcher

Bibliographic record

VenueInternational Psychiatry · 2004
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGlobal healthSpecialtyMental healthGlobal mental healthContext (archaeology)GlobalizationInternational healthCurriculumHealth carePerspective (graphical)Medical educationMedicinePolitical scienceNursingHealth policyPublic relationsPsychologyFamily medicinePublic healthPsychiatryPedagogyGeography

Abstract

fetched live from OpenAlex

As globalisation has diminished the distance between the developed and developing worlds, it has highlighted the impact of global health issues on domestic health concerns and has underscored the reality of global health disparities. In the Canadian context, there is a need for Canadian physicians to have an understanding of medicine from a global perspective and to appreciate and understand the impact of global health issues on both international and domestic health care. Consequently, there is a need to create and incorporate a global or international health curriculum into general as well as specialty physician training programmes. This will provide future physicians with the skills, knowledge and understanding necessary to provide globally informed practice in domestic as well as international health.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.037
GPT teacher head0.372
Teacher spread0.336 · 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 designObservational
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
Published2004
Admission routes2
Has abstractyes

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