MétaCan
Menu
Back to cohort
Record W4226311104 · doi:10.1080/17496535.2022.2058579

The Supremacy of Whiteness in Social Work Ethics

2022· article· en· W4226311104 on OpenAlex
Merlinda Weinberg

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

VenueEthics and Social Welfare · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsDalhousie University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRacismSociologyIgnoranceInjusticeHarmTestimonialSocial workEnvironmental ethicsEpistemologyGender studiesLawPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This paper explores racism specifically as an ethical concern in the field of social work and queries why it has been insufficiently emphasised in the discursive frames on ethics. The minimisation of racism as an ethical issue is illustrated utilising two research studies with racialised practitioners who highlighted experiences of racism. Epistemologies of ignorance by dominant groups contribute to norms that maintain dominance. These epistemological failings, as exemplified in social work, are delineated. Additionally, the utilisation of codes of ethics, based on the work of Kant, who was also an architect of a hierarchy of races, is considered. An exploration of this historical connection, and the traditional approach to ethics used in social work that followed, illuminates a difficulty with universal principles as they are interpreted in the Global North for primary guidance in social work ethics. The outcome of these problems results in testimonial and hermeneutic injustice for those affected by racism, causing significant harm.

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)0.010
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0290.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.105
GPT teacher head0.423
Teacher spread0.318 · 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