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Record W3007910139 · doi:10.22329/csw.v14i2.5885

The Use of Metaphor as an Important Tool for Understanding Oppression

2019· article· en· W3007910139 on OpenAlexaffvenue
Susan Hillock

Bibliographic record

VenueCritical Social Work · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsOppressionConceptualizationMetaphorSociologyQualitative researchSocial workExploratory researchSocial psychologyEpistemologyPsychologySocial sciencePolitical scienceComputer scienceLinguistics

Abstract

fetched live from OpenAlex

Using an anti-oppressive practice (AOP) theoretical framework and an exploratory qualitative research design, featuring semi-structured interviews and written assignments, a group of ten social workers were asked to describe their understandings of the concept of oppression. The study found that, in the case of these particular social workers, they used metaphor as a key conceptualization process to more vividly describe and understand the concept of oppression within their social work practice. This article analyzes eight categories of metaphor themes the participants used to explain their understanding of oppression: (a) pressure; (b) earth; (c) quest; (d) nature of society; (e) seeing; (f) building; (g) dancing; and (h) water. The research findings are intended to open up dialogue and thinking about the concept of oppression, increase our knowledge base and understandings of oppression within social work practice, and assist the social work profession to build a stronger conceptual framework for understanding and naming oppression with the end goal of assisting social workers to better respond to and resist systems of domination.

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 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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.796
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
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 integrity0.0000.000
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 head0.196
GPT teacher head0.443
Teacher spread0.248 · 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 teacher head, not a consensus.

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

Citations2
Published2019
Admission routes2
Has abstractyes

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