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Record W2730125358 · doi:10.1111/kykl.12141

<b>Work for Passion or Money? Variations in Artists’ Labor Supply</b>

2017· article· en· W2730125358 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

VenueKyklos · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsWestern University
Fundersnot available
KeywordsPassionWork (physics)EconomicsLabour economicsArtPsychologyEngineeringSocial psychology

Abstract

fetched live from OpenAlex

Summary This paper assesses the relative impact of work for money or work for passion on Norwegian artists by examining artists’ labor supply. Our contribution is twofold. The first is to test the work‐preference model and the second is to investigate the impact of arts grants on artists’ labor supply. The empirical specification draws two distinctions: between arts and non‐arts income and between labor and non‐labor income. Non‐labor income is divided into three different sources: (1) spouse's income, (2) income from financial assets and social benefits, and (3) arts grants and subsidies. Our contribution adds to the literature by estimating the significance of these various income sources on the time allocated to arts work, non‐arts work, and leisure. The results provide convincing evidence for the work‐preference model, and ad hoc evidence shows that art grants have a significant positive effect on the supply of arts hours. This finding supports arts policy and shows the impact of art grants on artists’ motivation to work on their arts. The causality of wages on supply is demonstrated by estimating the effects of wage shocks (grants) on arts labor supply using fixed‐effect and difference‐in‐difference methods.

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)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.347
Teacher spread0.270 · 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