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Record W2753841275 · doi:10.1111/grow.12203

An “Orphan” Creative Industry: Exploring the Institutional Factors Constraining the Canadian Fashion Industry

2017· article· en· W2753841275 on OpenAlexaboutno aff
Taylor Brydges, Rhiannon Pugh

Bibliographic record

VenueGrowth and Change · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsMarketing buzzContext (archaeology)PoliticsOrder (exchange)Fashion industryBusinessMarketingPublic relationsPolitical scienceAdvertisingClothing

Abstract

fetched live from OpenAlex

Abstract In recent years, tier‐two fashion countries have been making gains in the global fashion industry, with hip young brands, buzz‐worthy fashion weeks and export‐oriented designers. The Canadian fashion industry, on the other hand, continues to fall behind and instead has experienced recent high‐profile closures of leading domestic fashion names. This paper explores why this is the case by considering a wide range of factors from a historical and institutional perspective. We argue that Canadian fashion is facing a number of systemic problems relating to wider institutional and policy weaknesses, rather than a lack of talent and know‐how within the entrepreneurs and businesses in the sector. While the fashion industry is indeed global, we argue that it is in fact national and local level factors—political, economic, and cultural—that structure and constrain the Canadian fashion industry for independent designers. Through exploring the experiences of this group of actors—entrepreneurial fashion designers—in this particular context, we not only learn about Canada as an economy but also what is needed in order to develop the fashion industry more broadly. We provide a framework for analysing the range of socio‐economic, historical, and political factors at the national level which affect the performance of the fashion sector and the operation of fashion designers as the entrepreneurial actors at the heart of the industry.

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 score0.102
Threshold uncertainty score0.738

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0250.014
Scholarly communication0.0100.002
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.257
GPT teacher head0.327
Teacher spread0.070 · 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

Citations19
Published2017
Admission routes1
Has abstractyes

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