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Record W4253869141 · doi:10.32920/ryerson.14654916

Regenerative Abundance: Fast and Sustainable Apparel Production in Toronto

2021· preprint· en· W4253869141 on OpenAlexaffabout
Sarah Portway

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFast fashionClothingSustainabilityProduct (mathematics)Production (economics)PaceBusinessIncentiveExploratory researchMarketingSupply chainUpstream (networking)EconomicsEngineeringSociology

Abstract

fetched live from OpenAlex

<p>Fast fashion consumers demand rapidly changing, trend-based product lines at low cost. As a result, independent designers struggle to compete and this model of production has far-reaching negative environmental and social impacts. This exploratory qualitative analysis suggests best practices to revitalize Toronto’s apparel manufacturing sector by catering to new demands with a blended approach rooted in Zara’s fast fashion supply chain model, and McDonough and Braungart’s (2002) vision of Cradle to Cradle sustainability. Using a semistructured interview and online short answer questionnaires, participants from the Toronto apparel design and manufacturing industry were asked what they thought about these competing objectives. Four themes emerged: (1) the need to instil sustainability awareness in consumers and producers; (2) the need to manufacture locally; (3) the importance of convenience and incentives offered for sustainable, local production; and (4) the pace of apparel production must discard the two-season model in favour of more rapidly changing product assortments. </p>

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 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)0.000
metaresearch head score (Gemma)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.651
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.025
GPT teacher head0.250
Teacher spread0.225 · 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 teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreOther

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 routes2
Has abstractyes

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