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Power, Emergence, and the Meanings of Resistance: Open access Scholarly Publishing in Canada

2017· book-chapter· en· W2750399803 on OpenAlexfundaboutno aff
Taylor Price, Antony J. Puddephatt

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPublishingResistance (ecology)RationalityPower (physics)SociologyMedia studiesPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

Abstract Open access publishing is an increasingly popular trend in the dissemination of academic work, allowing journals to print articles electronically and without the burden of subscription paywalls, enabling much wider access for audiences. Yet subscription-based journals remain the most dominant in the social sciences and humanities, and it is often a struggle for newer open access publications to compete, in terms of economic, cultural, and symbolic capital (Bourdieu, 2004). Our study explores the meanings of resistance held by the editors of open access journals in the social sciences and humanities in Canada, as well as the views of university librarians. To make sense of these meanings, we draw on Lonnie Athens’ (2015) radical interactionist account of power, and expand on this by incorporating George Herbert Mead’s (1932, 1938) theory of emergence, arguing that open access is characteristic of an “extended rationality” (Chang, 2004) for those involved. Drawing on our open-ended interview data, we find that open access is experienced as a form of resistance in at least four ways. These include resistance to (1) profit motives in academic publishing; (2) access barriers for audiences; (3) access barriers for contributors; and (4) traditional publishing conventions.

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)0.009
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.954

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.023
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.011
Science and technology studies0.0530.071
Scholarly communication0.0360.010
Open science0.0030.014
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0050.000

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 head0.058
GPT teacher head0.334
Teacher spread0.276 · 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.

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

Citations9
Published2017
Admission routes2
Has abstractyes

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