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Record W3119270642 · doi:10.18438/eblip29812

Librarian Authors Appear to Favour Open Access Journals, while Academic Authors Appear to Favour Non-Open Access Journals

2020· article· en· W3119270642 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEvidence Based Library and Information Practice · 2020
Typearticle
Languageen
FieldComputer Science
TopicLibrary Science and Information
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceCitationDirectoryPublishingOpen scienceOpen access journalOpen access publishingScholarly communicationWorld Wide WebComputer sciencePolitical scienceMEDLINEScopusMathematics

Abstract

fetched live from OpenAlex

A Review of: Chang, Y.-W. (2017). Comparative study of characteristics of authors between open access and non-open access journals in library and information science. Library & Information Science Research, 39(1), 8-15. https://doi.org/10.1016/j.lisr.2017.01.002 Abstract Objective – To compare the characteristics of authors publishing in open access and non-open access library and information science (LIS) journals. Design – Comparative analysis of published journal articles. Setting – Academic journals. Subjects – Articles published in selected LIS journals between 2008-2013. Methods – Journals included in the Library Science and Information Science category in the 2012 edition of Journal Citation Reports and those listed in the Library and Information Science category of the Directory of Open Access Journals as of May 2013 were included in the analysis. Articles were examined and coded for author occupation, academic rank, and type of collaboration. Main Results – The author analyzed 1,807 articles from 20 open access journals and 1,665 articles from 13 non-open access journals. An unknown number of articles were excluded because they lacked required author information. Over half (53.9%) of the authors who published in the open access journals were practitioners. Over half (58.1%) of the authors who published in the non-open access journals were academics. Librarian-librarian collaboration was the most common type (38.6%) of collaboration found in the open access journals. Academic-academic collaboration was the most common type (34.1%) of collaboration found in the non-open access journals. Collaboration between librarians and academics was seen in 20.5% of open access articles and 13.2% of non-open access articles. Conclusion – In general, librarian-authored research was found more often in open access journals, while the “latest research topics and ideas” (p. 14) were found most often in non-open access journals.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication, Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.820
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.006
Science and technology studies0.0010.000
Scholarly communication0.0740.894
Open science0.0200.016
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.154
GPT teacher head0.415
Teacher spread0.261 · 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