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Record W4396639600 · doi:10.1093/bjsw/bcae052

Reflecting on Reflection in Clinical Social Work: Unsettling a Key Social Work Strategy

2024· article· en· W4396639600 on OpenAlexafffund
Katherine Occhiuto, Sarah Tarshis, Sarah Todd, Ruxandra M. Gheorghe

Bibliographic record

VenueThe British Journal of Social Work · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsMcGill UniversityCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsReflection (computer programming)Session (web analytics)Transformational leadershipAccountabilityPsychologyWork (physics)Key (lock)Social psychologySocial workReflective practiceApplied psychologyPedagogyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Abstract This study calls into question some of assumptions within social work education and practice regarding the transformational potential of reflection-on-practice. Participants (n = 34) in this simulation-based study each engaged in two clinically focused simulations, each followed by an interview which included observing segments of their video-recorded simulations. The objectives of this study are to make some sense of the misalignments between participants’ post-simulation reflections of their practice behaviours, and the practice behaviours observed by the research team, and later by participants themselves. Findings illustrate that: (i) how clients and the session are understood in the moment can be different than how they are understood post-client engagement; (ii) reflections of practice behaviours can be tied to how individuals want to be, which are not necessarily aligned with how they are in the moment; and (iii) reflections are intertwined with awareness of oneself. These results identify some of the limitations of individualised reflective activities, and demonstrate the powerful potential of collective reflection on recordings of simulations to challenge memory distortions, retrospective biases and to promote greater accountability to ourselves as social workers, and to those we work with.

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)0.011
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.009
Science and technology studies0.0140.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.003
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 head0.163
GPT teacher head0.485
Teacher spread0.322 · 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
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

Citations17
Published2024
Admission routes2
Has abstractyes

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