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Record W4312317959 · doi:10.23860/mgdr-2022-07-02-03

From Oceanography to Critical Marketing by Way of Dismantling Fast Fashion: The Purposeful Research Trajectory of Deniz Atik

2022· article· en· W4312317959 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.

Bibliographic record

VenueMarkets Globalization & Development Review · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEthosContext (archaeology)SustainabilityConsumption (sociology)SociologyBeautyIdentity (music)Neoliberalism (international relations)ConsumerismMarketingEnvironmental ethicsPolitical scienceBusinessAestheticsSocial scienceArtLawHistoryArchaeology

Abstract

fetched live from OpenAlex

Deniz Atik’s curiosity and persistence has led her to dive in the complex waters of a powerful and ubiquitous contemporary phenomenon: fast fashion. From a critical perspective on marketing studies, Atik has addressed the impact of fast fashion on the environment, workers’ rights, consumer welfare, and the global system of industries and philosophies around fashion markets. Problematizing the logics of sustainability, western beauty standards and consumer vulnerability in terms of identity and representation are central analyses in her literature that proposes new perspectives on the universe of constructs related to fast fashion to be analyzed in the context of post-modern markets. As co-editor in chief of the MGDR journal, Atik has hope in new generations to reduce environmental impact through conscious consumption, embrace new market logics of sustainability, and challenge the underlying ethos of capitalist markets.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

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 head0.050
GPT teacher head0.303
Teacher spread0.254 · 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