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Record W7100592606

Original Research Preparing Psychiatry Residents for the Certification Exam: A Survey of Residency and Exam Experiences

2014· article· en· W7100592606 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsCertificationAnxietyPreparednessCurriculumExperiential learningDiversity (politics)
DOInot available

Abstract

fetched live from OpenAlex

Objective: To determine which methods best prepare psychiatry residents for the certification exam, and ultimately for practice, to facilitate appropriate residency program curriculum changes. Method: We sent an anonymous survey to all final year (that is, PGY5) Canadian university–affiliated psychiatry residents, regarding frequency and diversity of observed interviews, form of feedback delivery, research and other training experiences, self-perception of preparedness and knowledge base, and management strategies for exam anxiety 6 months before and immediately after the certification exam. Results: There was a 52 % response rate. Residents from across Canada identified the following factors as enabling successful exam completion: regular mock orals supervised by Royal College examiners, clinical experience with exposure to a wide spectrum of pathologies, individual and group study time, and appropriate anxiety management. Preparation for the oral exam involving sample case vignettes with presentation and formulation skills training was considered to be essential but was identified as an area of educational and experiential weakness in some programs.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
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 science0.0020.000
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 head0.136
GPT teacher head0.377
Teacher spread0.242 · 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
Published2014
Admission routes1
Has abstractyes

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