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Record W2587328231 · doi:10.1504/ijkbd.2017.10003162

Cooperation and knowledge exchanges in creative careers: network support for fashion designers' careers

2017· article· en· W2587328231 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

VenueInternational Journal of Knowledge-Based Development · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversité TÉLUQUniversité du Québec à Montréal
Fundersnot available
KeywordsFashion designKnowledge managementSociologyBusinessPsychologyComputer sciencePolitical scienceClothing

Abstract

fetched live from OpenAlex

The fashion worlds describe the transition from Fordism towards a new type of economic model and supply chain in which creativity and innovation are favoured and where networks and reputation become more important for international branding. The world of fashion design is one that is characterised as being cultural and creative. It is worth considering that the transition from Fordism to a service oriented economy brings forth major paradigmatic changes. Our research on designers and major actors in the fashion design industry shows that branding of fashion designers takes new routes, and we observe a subculture that is resistant to standardisation and proposes niche markets supported by networks and new intermediary actors. The cooperation of networks and intermediary actors appears essential for the development of these creative careers, through knowledge exchanges and collaboration. We highlight the role of these collective actors, networks and organisations in supporting designers in access to knowledge and career development.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score0.626

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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)0.0000.000

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 head0.071
GPT teacher head0.353
Teacher spread0.283 · 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