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Record W2595801833

Between art and money: The social space of public readings in contemporary poetry economies and careers

2010· preprint· en· W2595801833 on OpenAlexaboutno aff
Sébastien Dubois, Ailsa Craig

Bibliographic record

VenueRePEc: Research Papers in Economics · 2010
Typepreprint
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryAppealSpace (punctuation)Order (exchange)EthnographySociologyArtLiteratureEconomicsPolitical scienceLawAnthropologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

What roles do public poetry performances (i.e., "readings") play in contemporary fields of poetry production? Drawing from extensive ethnographic, survey, and interview data gathered in Paris, New York, and Toronto, we explore the social dynamics of readings in order to understand better how these public and social gatherings contribute to poetry economies and careers. While differences exist between the locations for our research, the similarities are striking: we find that readings are crucial to poetry economies because they foster and maintain distribution networks for contemporary poetry in a global marketplace that tends to squeeze out forms of art that lack broad commercial appeal. We also find , across these locations, that readings are used in different ways by poets at different stages of career (i.e., unestablished, established and well-established) and by poets operating in different genres (i.e., those writing "for the stage" versus those writing "for the page"). Finally, we emphasize that readings provide an important space in which poets and others (e.g., booksellers, publishers) navigate the difficulties of making art while dealing with the necessities of money.

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)0.004
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.077
GPT teacher head0.354
Teacher spread0.277 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2010
Admission routes1
Has abstractyes

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