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Record W4245803036 · doi:10.32920/ryerson.14647503.v1

Transnational resistance or cultural exotica? : interrogating the multicultural accommodation of the Kufiya

2021· preprint· en· W4245803036 on OpenAlexaboutno aff
Nashwa Salem

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsAppropriationMulticulturalismOrientalismHegemonyMainstreamAestheticsCommodificationPoliticsSociologyResistance (ecology)Cultural hegemonyPower (physics)Gender studiesCultural appropriationMedia studiesPolitical scienceEpistemologyArtLiteratureLawPhilosophy

Abstract

fetched live from OpenAlex

The paper focuses on the incorporation of kufiya in Canada as a case study to argue that the coded aesthetics of dress is a salient non-verbal political signifier that marks transnational identities of resistance. However, its resistive communication is ruptured and dehistoricized by its incorporation into the hegemonic zone of multicultural Canada. Paradoxically, multiculturalism's disembodied production of the kufiya is further appropriated and commodified by mainstream countercultures as exotic chic through an Orientalist frame. The paper analyzes the cultural appropriation of the kufiya as a political practice whereby it concurrently operates within and naturalizes unequal power and social relationships. The processes that enable dominant groups to access, possess and (re)define cultural productions of marginal social groups are interrogated. This examination is extended to assessing the implications cultural appropriation has on the kufiya as well as appropriated communities of resistance.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.376
Threshold uncertainty score0.747

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0230.045
Scholarly communication0.0130.005
Open science0.0010.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.100
GPT teacher head0.281
Teacher spread0.182 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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