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Record W4231722996 · doi:10.32920/ryerson.14649429.v1

Creative Exploration of the Consumption and Disposal Habits of Fashion Retail Employees

2021· preprint· en· W4231722996 on OpenAlexaff
Sara Harlow

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsDalhousie University
Fundersnot available
KeywordsHabitusMarketingConsumption (sociology)BusinessRetail industrySustainabilitySociology

Abstract

fetched live from OpenAlex

This research project was conducted to assess the potential influence of fashion retail workers on industry sustainability by critiquing the standard practices of brand consumption as required by retail employers. A mixed-methodological approach, with an emphasis on creative exploration, was undertaken to examine employee experience and propose alternatives to unsustainable practices. Creative experimentation was supported by an anonymous online survey and photo submissions by individuals working in the fashion retail sector. Bourdieu’s Field Theory was applied to establish a lens from which to view retail employees as actors in the field of the fashion industry that functions as a group according to a unique habitus with specific dispositions. Use of Aesthetic Labour practices by fashion brands encourage the development of this habitus and manipulation of employees for the sole benefit of the company. The modes of interaction as both marketer and consumer are acquired and learned within the job and build upon the employee’s existing experience. It is therefore argued that these learned behaviours could be altered in a direction more beneficial to the employees themselves, as well as for improving the industry as a whole. The main finding of this research study was the need for awareness regarding the current economically and environmentally unsustainable expectations for fashion retail employees. Further participant-informed research would be beneficial and assist in broadening awareness. This information brought directly to the employees themselves has the potential to instigate significant change to an industry facing new challenges in both the retail and environmental sector

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)0.002
metaresearch head score (Gemma)0.003
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 score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.118
GPT teacher head0.320
Teacher spread0.202 · 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
Published2021
Admission routes1
Has abstractyes

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