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Record W1596929305 · doi:10.1177/070674370605100607

Canadian Psychiatry Residency Training Programs: A Glance at the Management Structure

2006· article· en· W1596929305 on OpenAlexaffvenueabout
Louis T. van Zyl, P.R. Davidson

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2006
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsQueen's University
Fundersnot available
KeywordsWorkloadAllowance (engineering)Residency trainingWork (physics)Medical educationTraining (meteorology)PsychologyMedicineComputer scienceOperations managementEngineeringContinuing educationOperating system

Abstract

fetched live from OpenAlex

OBJECTIVES: To describe the administrative functioning of all current Canadian psychiatry residency training programs (RTPs) and to suggest available improvements to existing systems. METHOD: We obtained data about the 2004 RTPs by distributing 2 questionnaires to all Canadian psychiatry RTPs. RESULTS: Residency program committees (RPCs) are mainly consultative and carry only a small amount of the workload of managing a residency program. Program directors (PDs) manage more than 80% of the work and report that the time allowance to perform their duties is suboptimal. PDs remain in office for about 5 years, departing during or at the end of a predetermined second term. CONCLUSION: RPCs bear only a small amount of the workload generated by the RTP. We piloted administrative changes that led to more equitable work distribution.

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)0.003
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score0.474

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0060.002
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.019
GPT teacher head0.294
Teacher spread0.275 · 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

Citations2
Published2006
Admission routes3
Has abstractyes

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