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Record W2116842650 · doi:10.1177/1473325014558664

An integrated framework of critical cultural competence and anti-oppressive practice for social justice social work research

2014· article· en· W2116842650 on OpenAlex
Ransford Danso

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

VenueQualitative Social Work · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSociologySocial workOppressionSocial justiceQualitative researchCultural competenceSalience (neuroscience)Social changeSocial competenceSocial psychologySocial sciencePsychologyPolitical sciencePedagogyPolitics

Abstract

fetched live from OpenAlex

Qualitative research continues to excite interest in social work inquiry spurring, in the process, a corresponding interest in social justice research. Yet, much remains to be done concerning the development of innovative frameworks for doing social justice social work research. Lack of effective research tools stymies social workers’ efforts at responding appropriately to the needs of culturally diverse service users and the structures that oppress them. This article introduces an integrated framework of critical cultural competence and anti-oppressive practice for doing qualitative social work research. Juxtaposing the cultural sensitivity powers of critical cultural competence with the social justice values of anti-oppressive practice enhances understanding of the salience of culture in human behavior, while promoting deeper appreciation of difference and the effects of oppression as experienced through social identities.

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)0.012
metaresearch head score (Gemma)0.063
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.785
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.063
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.005
Science and technology studies0.0140.005
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.223
GPT teacher head0.595
Teacher spread0.372 · 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