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Record W2474418132 · doi:10.1017/s1041610216000909

Practice eligible route for certification in geriatric psychiatry: why some Canadian psychiatrists are disinterested in writing the RCPSC subspeciality examination?

2016· letter· en· W2474418132 on OpenAlexafffundabout
Vincent Laliberté, Mark Rapoport, Kiran Rabheru, Soham Rej

Bibliographic record

VenueInternational Psychogeriatrics · 2016
Typeletter
Languageen
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsOttawa HospitalUniversity of OttawaSunnybrook Health Science CentreUniversity of TorontoHealth Sciences CentreMcGill University
FundersCanadian Academy of Geriatric Psychiatry
KeywordsMedicineSubspecialtyGeriatric psychiatryCertificationGeriatricsFamily medicinePsychiatryMental health

Abstract

fetched live from OpenAlex

Geriatric psychiatry was officially recognized as a subspecialty by the Royal College of Physicians and Surgeons of Canada (RCPSC) in 2009, with the first RCPSC exam written in 2013 (Andrew and Shea, 2010). The unique mental health needs of Canadians' seniors requires geriatric psychiatrists trained to address them (Herrmann, 2004), but current rates of recruitment in informal fellowship programs have been inadequate (Bragg et al., 2012). One hope of subspeciality recognition was to increase recruitment in Canada, but there have been some challenges in accrediting psychiatrists already caring for older adults. Many currently practicing geriatric psychiatrists have elected to take the Royal College examination, with >120 graduates in the first year, 2013, but others have been more ambivalent. In this letter, we perform a preliminary exploration of the prevalence and correlates of disinterest in completing the RCPSC geriatric psychiatry examination.

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)0.001
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.978
Threshold uncertainty score0.474

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0040.001

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 head0.318
GPT teacher head0.508
Teacher spread0.190 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2016
Admission routes3
Has abstractyes

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