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Record W2131965549 · doi:10.1177/070674370605100403

Factors Predicting Practice Location and Outreach Consultation among University of Toronto Psychiatry Graduates

2006· article· en· W2131965549 on OpenAlexaffvenueabout
Brian Hodges, R.G. Cooke, S. Parker, Edward M. Adlaf

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2006
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental HealthUniversity Health Network
Fundersnot available
KeywordsOutreachGraduation (instrument)DemographicsFamily medicineMedicineRural areaMedical educationGerontologyPsychologyDemographyPolitical scienceSociology

Abstract

fetched live from OpenAlex

OBJECTIVE: To identify the determinants of practice location and of outreach consultation of recently graduated psychiatrists. METHODS: We surveyed 153 psychiatrists who graduated from the University of Toronto Department of Psychiatry between January 1990 and June 2002 (response rate 51%), on the basis of a self-administered mail questionnaire. The survey assessed factors that influenced practice location and outreach consultation, such as demographics, links to practice communities, and outreach experiences, including rural or northern electives as a resident. RESULTS: Professional variables were rated as the most important factors in choosing a practice location. Variables such as age or sex were not significantly associated with location. Nine percent reported working in communities of less than 100,000, and only 1% practised in Northern Ontario. Eighteen percent practised in the same location where they were born or raised. Forty-four percent had rural or northern experience as a resident but almost exclusively in the form of short, fly-in consultation electives. Twenty-four percent indicated that they provide outreach consultation. Psychiatry residents who participated in outreach electives were 10 times as likely as those who did not participate to continue outreach as a consultant. CONCLUSION: Although early exposure to rural or northern medicine leads to significantly greater continued involvement in outreach activities after graduation, our findings suggest the need for more long-term, on-site residency training opportunities in rural and remote areas.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
Threshold uncertainty score0.857

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.023
GPT teacher head0.329
Teacher spread0.306 · 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

Citations21
Published2006
Admission routes3
Has abstractyes

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