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Record W2742092984 · doi:10.1177/2057047317722797

Open sesame: Analysing Public Library of Science as a site of production and distribution for open access scientific information and knowledge

2017· article· en· W2742092984 on OpenAlex
Scott S. Mitchell

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

VenueCommunication and the Public · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsCarleton University
Fundersnot available
KeywordsIntermediarySociology of scientific knowledgePublic relationsProduction (economics)BusinessKnowledge managementPoliticsDistribution (mathematics)Open sciencePolitical scienceSociologySocial scienceMarketingComputer scienceEconomics

Abstract

fetched live from OpenAlex

This article explores the Public Library of Science as a site that produces and disseminates open access scientific information and knowledge for the public good. Through this case study, issues of property ownership, the nature and political economy of biological information, scientific expertise and accessibility of information and scientific knowledge as a public good are considered. Drawing on a cultural industries perspective, I examine the various intermediaries and institutional arrangements that continue to impact and shape the production and dissemination of this open access knowledge. I suggest that Public Library of Science embodies a new mode for the social production of scholarly knowledge and its dissemination, with important implications for how scientific knowledge and expertise are created, certified and circulated.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScience and technology studies, Scholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score1.000

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 studies0.0030.003
Scholarly communication0.0150.018
Open science0.0020.003
Research integrity0.0000.000
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 head0.153
GPT teacher head0.364
Teacher spread0.210 · 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