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Record W2038502420 · doi:10.1093/cjres/rss023

Creatives after the crash

2013· article· en· W2038502420 on OpenAlexaff
B. Donald, M S Gertler, Peter Tyler

Bibliographic record

VenueCambridge Journal of Regions Economy and Society · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversity of TorontoQueen's University
Fundersnot available
KeywordsWorkforceSituatedVulnerability (computing)Creative economyCrashCreative industriesService (business)Work (physics)Creative workCreative destructionBusinessPolitical scienceCreativityEconomic growthEconomicsEngineeringMarketingMarket economyComputer securityComputer science

Abstract

fetched live from OpenAlex

We examine recent evidence concerning the fate of creative workers since the economic crash of 2007–2008. There is some consensus that the creative economy is an important economic driver and does represent a source of fundamental economic change. There is less agreement on what this change means for the creative worker and workforce. Some studies suggest that the creative workforce has weathered the storm much better than those in lower-order service and manufacturing occupations. Others challenge this finding and some studies point to the growing precariousness and vulnerability of creative work. What does seem clear is that the nature and degree of vulnerability is shaped and influenced by the wider macro-institutional architectures within which this economic activity is situated.

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)0.012
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.002
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0190.003

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 head0.021
GPT teacher head0.248
Teacher spread0.226 · 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

Citations31
Published2013
Admission routes1
Has abstractyes

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Same venueCambridge Journal of Regions Economy and SocietySame topicCultural Industries and Urban DevelopmentFrench-language works237,207