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Record W2962648445 · doi:10.1002/capr.12247

Social justice competencies for counselling and psychotherapy: Perceptions of experienced practitioners and implications for contemporary practice

2019· article· en· W2962648445 on OpenAlex
Jason Brown, Samantha Wiendels, Vanessa Eyre

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCounselling and Psychotherapy Research · 2019
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyPerspective (graphical)Social workCritical consciousnessSocial justicePerceptionSocial consciousnessEconomic JusticePsychotherapistMedical educationPedagogyMedicinePolitical science

Abstract

fetched live from OpenAlex

Abstract The purpose of the present study was to identify social justice competencies from the perspective of psychotherapists engaged in therapeutic practice. Twenty‐five therapists were asked, “What social justice competencies do psychotherapists need?” Responses were analysed using the concept mapping method. Nine participants grouped all unique interview responses into groups. Multidimensional scaling and cluster analysis were applied. The six competency areas identified included community activism, political influence on clinical work, critical consciousness, social responsibility, self‐awareness and personal style. The results were compared and contrasted with the literature. Considerable overlap was noted. The main differences concerned the need for collaboration as an advocacy tactic, as well as local knowledge about the pressing social issues affecting members of the community within which one practices.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.862
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.153
GPT teacher head0.488
Teacher spread0.335 · 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