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Record W4205460214 · doi:10.1177/08861099211066338

Creative Writing and Decolonizing Intersectional Feminist Critical Reflexivity: Challenging Neoliberal, Gendered, White, Colonial Practice Norms in the COVID-19 Pandemic

2022· article· en· W4205460214 on OpenAlex
Christine Mayor, Shoshana Pollack

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
TopicSocial Work Education and Practice
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsReflexivityDialogicSociologyNeoliberalism (international relations)Gender studiesColonialismMetaphorIntersectionalityCritical discourse analysisPolitical sciencePedagogySocial sciencePoliticsIdeology

Abstract

fetched live from OpenAlex

Creative writing during the COVID-19 pandemic can serve as a decolonizing intersectional feminist method for critical self-reflexivity. We share responses to the prompt: “If my therapeutic practice came with a warning label in COVID-19, what would it say?” and provide an analysis of the neoliberalism, whiteness, and colonialism embedded in our creative writing and practice. Engaging in critical self-reflexivity through metaphor carries potential for revealing hidden gendered, racialized, colonial, and neoliberal biases and norms related to social work practice, particularly when done in a collaborative, dialogic manner. We conclude by providing possible creative writing prompts that might be used in social work practice, supervision, and teaching to advance existing practices of self-reflexivity in social work both during and beyond the pandemic.

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)0.005
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.619
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.123
GPT teacher head0.456
Teacher spread0.333 · 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