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Record W2189287432 · doi:10.1177/070674370204700610

Senior Residents in Psychiatry: Views on Training in Developmental Disabilities

2002· article· en· W2189287432 on OpenAlexaffvenue
Philip Burge, Hélène Ouellette‐Kuntz, Bruce McCreary, Elspeth Bradley, Pierre Leichner

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2002
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsSurrey Place CentreUniversity of TorontoUniversity of British ColumbiaQueen's University
Fundersnot available
KeywordsCurriculumPsychologyMedical educationTraining (meteorology)MedicineGerontologyPedagogy

Abstract

fetched live from OpenAlex

OBJECTIVES: To determine the proportion of senior residents who believed their education in the field of developmental disabilities was adequate and to collect suggestions for improvements. METHOD: We distributed a self-administered questionnaire to senior residents prior to an annual voluntary preparatory exam. Their views on training in developmental disabilities and ideas about improving curricula were solicited in detail, and their feedback results were analyzed. RESULTS: Of the 89 senior residents who attended the exam, 60 (67.4%) completed the survey. This represents 29% of the national complement. Most (85%) of the one-half who reported receiving undergraduate training in developmental disabilities felt the quantity was inadequate. Almost 90% of those who did not receive training felt they should have. Of respondents, 85% received residency training in dual diagnosis, but most (59%) felt more curriculum time was needed. CONCLUSIONS: Senior residents also desire curricular enhancements that experts in developmental disabilities have long recommended.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.166
GPT teacher head0.389
Teacher spread0.223 · 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.

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

Citations32
Published2002
Admission routes2
Has abstractyes

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