MétaCan
Menu
Back to cohort
Record W2508438347 · doi:10.4172/2161-0487.1000188

A Needs Analysis for a Resident Psychotherapy Curriculum

2014· article· en· W2508438347 on OpenAlexaboutno aff
Catherine Hickey

Bibliographic record

VenueJournal of Psychology & Psychotherapy · 2014
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumPsychologyPsychotherapistMedical educationPedagogyMedicine

Abstract

fetched live from OpenAlex

Various academic programs throughout the world are intensifying demands for psychotherapy training. For example, the Royal College of Physicians and Surgeons of Canada now demands that psychiatry residents get competency based trainining in multiple psychotherapy modalities throughout their training. Faculty complain of limited time and limited teaching resources. Residents complain of a lack of skills based, “hands on” supervision. The purpose of this study was to undertake a needs analysis for a new, competency based psychotherapy curriculum in a Canadian psychiatry residency program. A group of residents were surveyed about their perceived learning needs. An online, anonymous survey was distributed to all of the residents in this training program. The survey results suggested the need for a new psychotherapy curriculum—one that is integrated, interactive and based on the Royal College’s Objectives of Training. Innovative delivery methods, including multimedia and review of actual and simulated patients, were preferred. These results suggest that a blended course might be an ideal way to combine an appropriate balance of didactic content with hands on viewing and discussion of previously recorded, actual patient sessions.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.691
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.027
GPT teacher head0.405
Teacher spread0.377 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Psychology & PsychotherapySame topicPsychotherapy Techniques and ApplicationsFrench-language works237,207