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Record W4387706009 · doi:10.1080/08841233.2023.2266521

Emotional Regulation in Peer-To-Peer Role-Play in Canadian Social Work Education: The Contribution from Standardized Clients in Medicine

2023· article· en· W4387706009 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Teaching in Social Work · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of British ColumbiaLaurentian University
Fundersnot available
KeywordsThematic analysisPsychologyWork (physics)Social workQualitative researchMedical educationSocial psychologyPublic relationsMedicineSociologyPolitical science

Abstract

fetched live from OpenAlex

Peer-to-peer role-play in social work education continues to have widespread use in the teaching of generalist social work skills. For many students, however, the unfamiliarity of role-playing the client in conjunction with discussing clinical concerns may lead them to become emotionally dysregulated during the social work-client encounter. To explore strategies by which students can maintain emotional regulation when playing the client role, this study garnered the perspectives of Standardized Clients from Canadian medical schools who conduct repeated, simulated performances in the client role. Standardized Clients (N = 116) responded to an online, qualitative survey which explored how they manage their emotions during simulations. Thematic analysis revealed the following regulation strategies: 1) Internal: a) Distance self from the role, b) Immerse in the role, c) Focus on emotions; and 2) External: a) Putting on a performance, and b) The importance of self-care. This paper offers suggestions for social work educators to assist students playing the client in peer-to-peer role-play exercises.

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)0.015
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.392
Teacher spread0.362 · 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