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Record W4224587832 · doi:10.1177/10497315221085666

Pedagogical Methods of Teaching Social Justice in Social Work: A Scoping Review

2022· review· en· W4224587832 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

VenueResearch on Social Work Practice · 2022
Typereview
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCurriculumSocial workPsychologyValue (mathematics)PedagogyPresentation (obstetrics)Empirical researchPolitical scienceComputer scienceMedicine

Abstract

fetched live from OpenAlex

Purpose: Social justice is a foundational social work value, but social work education continues to experience ongoing challenges with how to teach students to embody social justice values. The aim of this scoping review is to map empirical studies on teaching methods that translate social justice value into teachable curricula. Methods: Following Arksey and O’Malley’s scoping review framework, we conducted a rigorous process in which we screened 5953 studies and included a final sample of 35 studies. Results: Our findings identified seven main teaching approaches: intergroup dialogue, online asynchronized discussion board, simulation and role play, group work and presentation, written reflection, community-engaged learning, and social action-oriented learning. In terms of competency development, most of the studies focused on awareness and knowledge versus skill-building. Most teaching methods emphasized students’ affective experiences during the social justice learning activities. Discussion: Challenges, lessons learned, and future recommendations of each teaching method are presented.

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)0.098
metaresearch head score (Gemma)0.100
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.842
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0980.100
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.021
Science and technology studies0.0210.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.012
Insufficient payload (model declined to judge)0.0120.001

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 head0.792
GPT teacher head0.737
Teacher spread0.055 · 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