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Record W2071280619 · doi:10.5860/crl-356

Do Open Access Electronic Theses and Dissertations Diminish Publishing Opportunities in the Social Sciences and Humanities? Findings from a 2011 Survey of Academic Publishers

2013· article· en· W2071280619 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCollege & Research Libraries · 2013
Typearticle
Languageen
FieldDecision Sciences
Topicscientometrics and bibliometrics research
Canadian institutionsUniversity of British ColumbiaUniversity of Windsor
Fundersnot available
KeywordsPublishingThe artsOpen access publishingLibrary scienceElectronic publishingHigher educationSociologyGraduate studentsPollingScholarly communicationWork (physics)Political scienceMedia studiesHumanitiesSocial sciencePedagogyArtWorld Wide WebThe InternetEngineeringComputer science

Abstract

fetched live from OpenAlex

An increasing number of higher education institutions worldwide are requiring submission of electronic theses and dissertations (ETDs) by graduate students and are subsequently providing open access to these works in online repositories. Faculty advisors and graduate students are concerned that such unfettered access to their work could diminish future publishing opportunities. This study investigated social sciences, arts, and humanities journal editors’ and university press directors’ attitudes toward ETDs. The findings indicate that manuscripts that are revisions of openly accessible ETDs are always welcome for submission or considered on a case-by-case basis by 82.8 percent of journal editors and 53.7 percent of university press directors polled.

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)0.058
metaresearch head score (Gemma)0.076
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics, Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Bibliometrics, Science and technology studies, Scholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0580.076
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0230.065
Science and technology studies0.0020.004
Scholarly communication0.1330.052
Open science0.0120.006
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.897
GPT teacher head0.631
Teacher spread0.266 · 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