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Record W2122544550 · doi:10.1177/1749975515580858

Regionalism and the Publishing Class: Conflicted Isomorphism and Negotiated Identity in a Nested Field of American Publishing

2015· article· en· W2122544550 on OpenAlexaff
Clayton Childress

Bibliographic record

VenueCultural Sociology · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsUniversity of Toronto
FundersUniversity of California, Santa BarbaraUniversity of California Humanities Research InstitutePrinceton University
KeywordsSociologyRegionalism (politics)Field (mathematics)PublishingLegitimacyIdentity (music)Social scienceMedia studiesPolitical economyPolitical scienceLawPoliticsDemocracyAesthetics

Abstract

fetched live from OpenAlex

In sociology different streams of field theory have not been systematically integrated, despite their common intellectual heritage. Incorporating insights from three streams of field theory –Bourdieusian, neo-institutional, and strategic action fields – this work examines the oft-neglected field site of cultural production outside of geographic cores. The case is concerned with book publishers in the San Francisco Bay Area, how they work to balance competing isomorphic pressures between the regional and national fields, and their strategic decoupling of identity and practice while working to maintain legitimacy both in the national field on which they depend for promotion and sales, and in the regional field on which they depend for a sense of group identity and purpose.

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)0.010
metaresearch head score (Gemma)0.016
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 score0.014
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0100.053
Scholarly communication0.0140.009
Open science0.0010.009
Research integrity0.0010.002
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 head0.063
GPT teacher head0.352
Teacher spread0.289 · 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

Citations22
Published2015
Admission routes1
Has abstractyes

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