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Record W4387823779 · doi:10.3138/topia-2023-0009

Evaluation as Devaluation: The Labour of Critique in Fashion Education

2023· article· en· W4387823779 on OpenAlexvenueno aff
Jack E. Davis

Bibliographic record

VenueTOPIA Canadian Journal of Cultural Studies · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyTUTORWork (physics)Successor cardinalDevaluationObligationStudioThe artsMonopolyPedagogyPublic relationsPsychologyPolitical scienceLawEconomicsVisual artsEngineeringArtCurrency

Abstract

fetched live from OpenAlex

A “critique” means something quite different in the art and design classroom than it does in the seminar room: an event of assessing students’ artwork. The monopolization of critique as a labour of appraisal serves to enforce that the hours fashion students spend crafting wearable garments are not remunerable labour hours but intangible investments in their own professional and personal development, installing a quite literal distinction between the material work created by the student and the immaterial work of the tutor to assign, guide, and grade it. This pedagogy helps naturalize the asymmetrical distribution of time and obligation through which the arts university precaritizes faculty in short-term work contracts while imprisoning students in long-term loans. By licensing its monopoly on critique to instructors within the studio-classroom so they may evaluate and thereby devaluate the work of students, the university insulates itself from solidarity between its different constituencies.

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)0.042
metaresearch head score (Gemma)0.078
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.078
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0130.134
Scholarly communication0.0310.018
Open science0.0020.019
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0060.001

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 head0.056
GPT teacher head0.329
Teacher spread0.273 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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