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Record W4405625573 · doi:10.1080/08841233.2024.2433794

Teaching Cognitive Behavioral Therapy Skills to MSW Students: A Simulation-Based Workshop

2024· article· en· W4405625573 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Teaching in Social Work · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsDalhousie UniversityThe King's UniversityWestern University
Fundersnot available
KeywordsPracticumCurriculumSocial workMedical educationPsychologyCognitionSocial cognitive theorySocial skillsPedagogyMedicinePsychotherapist

Abstract

fetched live from OpenAlex

This teaching initiative responded to an effort to strengthen the connection between cognitive behavioral therapy (CBT) theory and practice among Master of Social Work (MSW) students. This initiative was developed in response to feedback from our MSW students, who requested further training in CBT skills before entering practicum settings. Incorporating a two-day training workshop in CBT skills and the use of simulation-based learning (SBL), this project was a pilot for building additional practice skills into the MSW curriculum. The workshop focused on applying specific CBT theory and skills taught within the MSW program in a more focused way, offering a potentially new and ongoing model for building increased confidence in practice techniques. Evaluation methods of the initiative included pre-post qualitative reflections and post-workshop feedback.

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.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.066
GPT teacher head0.493
Teacher spread0.427 · 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