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Record W4392927097 · doi:10.32920/25417180

Existing Within Capitalism: An Exploration of the Clothing Swap as an Anti-capitalist Fashion System

2024· preprint· en· W4392927097 on OpenAlexaffabout
Dante Lusson

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsToronto Metropolitan UniversityUniversity of Alberta
Fundersnot available
KeywordsSwap (finance)ClothingFashion industryFast fashionClothing industryCapitalismFashion designBusinessContext (archaeology)CommerceMarketingPolitical scienceLawPoliticsFinanceHistory

Abstract

fetched live from OpenAlex

Our fashion industry is built to serve the needs of a capitalist society. Consumers searching for alternatives are often presented with one-stream solutions that cannot reverse the fashion industry’s crisis. This research paper proposes a new alternative for consumers- the clothing swap, an anti-capitalist fashion system. Two in-depth interviews with participants of the Canadian clothing swap community were conducted to understand how they fit into an anti-capitalist framework in the context of fashion. By drawing on the personal experiences of the interviewees, this research illuminates the impact that the clothing swap can have on its participants. Finally, this study proposes that a capitalist fashion industry does not serve the needs of all of its consumers and identifies the importance of seeking out alternatives that do, such as the clothing swap.

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)0.002
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 score0.153
Threshold uncertainty score0.303

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0170.038
Scholarly communication0.0100.005
Open science0.0010.005
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 head0.129
GPT teacher head0.299
Teacher spread0.171 · 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
Published2024
Admission routes2
Has abstractyes

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