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Record W3191116187 · doi:10.1080/02615479.2021.1956451

Towards Understanding the Client and Observer in the Peer-to-Peer Role-Play

2021· article· en· W3191116187 on OpenAlexafffund
Lea Tufford, Lori Gauthier, Ellen Katz, Angélique Jenney

Bibliographic record

VenueSocial Work Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of CalgaryUniversity of TorontoLaurentian University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyEmpathySocial workThematic analysisBachelorSocial psychologyQualitative researchSociology

Abstract

fetched live from OpenAlex

The longstanding use of the peer-to-peer role-play offers social work students an introduction to developing their skills of intervention in a simulated client encounter. This experiential exercise permits students to practice the generalist skills involved in engaging, assessing, intervening, and terminating with clients in distress. Although the student social worker is the central player of this exercise, the client and observer have integral roles. To explore Bachelor of Social Work students’ (N = 18) perceptions of the client and observer roles, focus groups were conducted. Thematic analysis revealed the following themes for the client role: 1) Helping the student social worker; 2) Increased empathy for the character; 3) Increased vulnerability; 4) The need for feedback; and 5) Coping with triggers. The themes for the observer role include: 1) Learning through observing; and 2) Placement of observers. Implications for social work educators who use the peer-to-peer role-play are offered.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.045
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0450.044
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0140.036
Scholarly communication0.0220.023
Open science0.0050.014
Research integrity0.0070.012
Insufficient payload (model declined to judge)0.0030.001

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 head0.081
GPT teacher head0.388
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations7
Published2021
Admission routes2
Has abstractyes

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