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Record W1954591221 · doi:10.29173/cjs10514

Buzz as an Urban Resource

2013· article· en· W1954591221 on OpenAlexaffvenueabout
Daniel Silver, Terry Nichols Clark

Bibliographic record

VenueThe Canadian Journal of Sociology · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsArticulation (sociology)Marketing buzzPoliticsSociologyThe artsUrban cultureUrban politicsGlobal cityMedia studiesSocial sciencePublic administrationRegional sciencePolitical economyPolitical scienceLawAdvertisingBusiness

Abstract

fetched live from OpenAlex

The global rise of arts and culture is transforming local politics. Though new to many academic urban analysts, this is a commonplace for many mayors and local policymakers around the world. We seek to overcome this divide by joining culture and the arts with classic concepts of urban politics. We offer an analytical framework incorporating the politics of cultural policy alongside the typical political economic concerns in the urban politics and development literatures. Our framework synthesizes several research streams that combine in global factors driving the articulation of culture into city politics. This frames our studies of the local processes through which this articulation occurs on the ground in Toronto and Chicago.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.131
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.045
GPT teacher head0.281
Teacher spread0.237 · 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.

Study designNot applicable
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

Citations27
Published2013
Admission routes3
Has abstractyes

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