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Record W2991086869 · doi:10.22329/csw.v13i1.5848

Anti-Oppression Through a Postmodern Lens

2019· article· en· W2991086869 on OpenAlexaffvenue
Catrina Brown

Bibliographic record

VenueCritical Social Work · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsDalhousie University
Fundersnot available
KeywordsOppressionPostmodernismReflexivitySociologyAestheticsPower (physics)EpistemologyGender studiesSocial sciencePoliticsPhilosophyLawPolitical science

Abstract

fetched live from OpenAlex

Anti-oppression discourse has emerged within critical social work in an effort to address issues of diversity, difference, and inclusion. Drawing upon Audre Lorde’s (1984) famous words “the master’s tools will never dismantle the master’s house” this paper will argue that modernist aspects of anti-oppressive discourse may unwittingly deploy the masters’ or dominant conceptual tools. A critical reflexive lens identifies unintended, modernist conceptual practices of power which may reify dominant discourse. Specifically I focus on three modernist practices of power which may limit anti-oppression discourse: 1) the essentialism of the subject, 2) subjectivism or writing out the social, and 3) the reproduction of dominant social discourse. Through exploring these three related domains, I argue for a blending of modernist and postmodernist assumptions which holds onto the strengths of both modernism and postmodernism while abandoning their limitations. This blended approach will facilitate a critically reflexive anti-oppressive practice. KEYWORDS: Anti-oppression, postmodernism, social work practice, reflexivity

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.025
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.002
Science and technology studies0.0090.097
Scholarly communication0.0170.013
Open science0.0020.009
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0040.000

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 head0.059
GPT teacher head0.409
Teacher spread0.350 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations29
Published2019
Admission routes2
Has abstractyes

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