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Disrupting knowledge in the arts: encountering the colonial other through performance

2020· article· en· W3095064034 on OpenAlexaffabout
Mirna E. Carranza

Bibliographic record

VenueCritical and Radical Social Work · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCONTESTColonialismThe artsRelation (database)ImmigrationSociologyRepresentation (politics)Gender studiesMedia studiesVisual artsPolitical scienceArtLawPoliticsComputer science

Abstract

fetched live from OpenAlex

‘We are not the Others’ is an artful representation of women’s migration stories woven together through a series of spoken vignettes, developed from social work research. This way of seeing lived experience is useful as it enhances knowledge that may not be ascertained in the social work encounter. These learnings provide feedback on services and the hazards of Canada. The article begins with a discussion of the colonial other in relation to migration. Analysis is centred on the questions: how does the performance of the colonial ‘other’ invoke the desire to contest women immigrants’ belonging? How does the display of migration and racialisation grant silent permission to demarcate who belongs? This article takes up how this knowledge is seen and challenged by viewers, which provides insight for social workers into how the terrain of belonging is mediated by racialisation and gender.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0260.057
Scholarly communication0.0140.007
Open science0.0010.011
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0040.001

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 head0.073
GPT teacher head0.403
Teacher spread0.329 · 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 designQualitative
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

Citations1
Published2020
Admission routes2
Has abstractyes

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