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Record W4297921917 · doi:10.1177/08861099221102702

Anti-Racist Research Praxis: Feminist Relational Accountability and Arts-Based Reflexive Memoing for Qualitative Data Collection in Social Work Research

2022· article· en· W4297921917 on OpenAlex
Christine Mayor

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

VenueAffilia · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsWilfrid Laurier UniversityUniversity of Manitoba
Fundersnot available
KeywordsPraxisReflexivitySociologyRacismAccountabilityQualitative researchGender studiesEpistemologySocial scienceLawPolitical science

Abstract

fetched live from OpenAlex

Largely absent from the feminist qualitative social work research literature are practical discussions about the ethics of white researchers who “study up” people and institutions of power. This methodological article grapples with how to conduct data collection from an anti-racist framework. I explore my use of an arts-based self-reflexive memoing process of embodied tableaux to inform my experimentations of rejecting “neutrality” when interviewing participants. I provide examples of disrupting white, patriarchal, and colonial norms during qualitative interviewing, including directly naming my whiteness and anti-racist stance; intentionally challenging the racism of white participants and deepening critical reflection; and viewing myself through a lens of critical skepticism to recognize when I was protecting whiteness or failing to effectively intervene. I conclude with an invitation to others to experiment with an anti-racist research praxis—an iterative process of self-reflexivity and relational accountability to reflect, theorize, and act differently during feminist social work research.

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)0.193
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1930.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0110.004
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
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 head0.834
GPT teacher head0.723
Teacher spread0.111 · 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