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Record W2952905066 · doi:10.22329/csw.v6i1.5654

Discourse Analysis in Critical Social Work: From Apology to Question

2019· article· en· W2952905066 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCritical Social Work · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsYork University
Fundersnot available
KeywordsEpistemologySociologyCritical consciousnessContext (archaeology)Critical reflectionSet (abstract data type)Social practiceReflection (computer programming)Relation (database)Critical discourse analysisPoliticsPolitical sciencePedagogyIdeologyComputer scienceLaw

Abstract

fetched live from OpenAlex

This paper concerns the relation between critical reflective practice and social workers’ lived experience of the complicated and contradictory world of practice. I will outline how critical reflection based on discourse analysis may generate useful perspectives for practitioners who struggle to make sense of the gap between critical aspirations and practice realities, and who often mediate that gap as a sense of personal failure. I will describe two examples of discourse-based case studies, and show how the conceptual space that is opened by such reflection can help social workers gain a necessary distance from the complexity of their ambivalently constructed place. Discourse analysis can provide new vantage points from which to reconstruct practice theory in ways that are more consciously oriented to our social justice commitments. I understand these vantage points in the case studies I will describe as: 1) an historical consciousness, 2) access to understanding what is left out of discourses in use, 3) understanding of how actors are positioned in discourse, all leading to: 4) a new set of questions which expose the gap between the construction of practice possibilities and social justice values, thus allowing for a new understanding of the limitations, constraints and possibilities within the context of the practice problem.

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)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.792
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.008
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.003

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 head0.049
GPT teacher head0.469
Teacher spread0.420 · 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