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Record W2732175898 · doi:10.12740/app/70659

From foundations to frontiers: the status and perception of formulation teaching in Canadian English-speaking psychiatry residency programs

2017· article· en· W2732175898 on OpenAlexaboutno aff
Catherine Hickey, Gille Fleury, Angela Penney

Bibliographic record

VenueArchives of Psychiatry and Psychotherapy · 2017
Typearticle
Languageen
FieldMedicine
TopicClinical Reasoning and Diagnostic Skills
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumCompetence (human resources)PerceptionMedical educationPsychologyStandardizationResidency trainingContext (archaeology)MedicinePedagogyPolitical scienceSocial psychologyContinuing education

Abstract

fetched live from OpenAlex

Aim of the study Formulation is considered a key competence that should be taught during psychiatry training in residency. The scientific literature indicates shortcomings in teaching this clinical skill such as a lack of standardization and clear guidelines. The main objective of this research was to examine psychiatry residents’ perception regarding teaching of formulation in Canadian psychiatry residency programs. Subject or material and methods All Canadian psychiatry program directors in English programs were emailed a link for the study survey. The survey had a mix of closed and open-ended questions. With the exception of one Program Director, the survey link was distributed by all of the Program Directors. 116/661 (17.5%) of residents completed the survey. Results Overall, results of this survey indicated that residents did not feel very competent in their formulation skills, although they felt this was an important ability. Residents mostly learn it through individual supervision or through mentoring with a senior resident. Discussion Residents suggested a more structured approach in teaching formulation, as well as adding a small group format or workshops. Conclusions This research could provide guidance to educators in developing new curricula in the context of the upcoming transition to the competence-based framework by the Royal College of Physicians and Surgeons of Canada.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.202
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.019
GPT teacher head0.343
Teacher spread0.324 · 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
Published2017
Admission routes1
Has abstractyes

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