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Record W1555660805 · doi:10.18438/b89w5d

There are Discipline-Based Differences in Authors’ Perceptions Towards Open Access Publishing

2011· article· en· W1555660805 on OpenAlexvenueno aff
Lisa Shen

Bibliographic record

VenueEvidence Based Library and Information Practice · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingDirectoryPublicationMedical educationThe InternetGateway (web page)Library sciencePsychologyMedicinePolitical scienceWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

Objective – To determine reasons authors choose to publish in open access (OA) education journals, which provides readers with unrestricted free online access to published articles, and investigate ways in which publishing practices in the discipline of education affects authors’ willingness to publish in these journals. 
 
 Design – Web-based survey questionnaire. 
 
 Setting – The survey was conducted over the Internet through email invitations. 
 
 Subjects – A total of 309 authors who published in OA journals in education participated in this survey for a response rate of 27.9%. 
 
 Methods – Researchers surveyed authors who published in selected education journals from 2007 to 2008. The journal titles where generated from the Directory of Open Access Journals (DOAJ). All chosen journals were peer-reviewed and published either original research or overviews of research results. In addition, all were in English and published in the United States. A total of 1,107 authors were invited to participate via email. The survey was delivered through commercial online survey tool SurveyMonkey and consisted of multiple choice and open-ended questions. It was open from early March to April 16, 2009.
 
 Main Results – The survey had a response rate of 27.9%. The majority of participants were tenured faculty (42.0%), tenure-track faculty (25.9%), and non-tenure track faculty (12.1%). The rest of participants (20%) consisted of adjunct instructors, graduate students, administrators, and individuals working in non-academic institutions such as government agencies.
 
 Most authors surveyed have published between 10 and 20 articles (20.6%), or over 20 articles (30.4%) in print and electronic journals (e-journals). The majority of authors also reported that one (23.3%) or between 2 to 5 (54%) of their articles was published in OA format. 
 
 When choosing a journal for publications, authors surveyed ranked peer-review to be the most important determinant. Other important determinants included “good match” (ranked second most important) for authors’ manuscripts and reputation of the journal (third) and editorial board (fourth). Citation impact, such as the ISI impact factor (eighth), and copyright retention (tenth) were ranked as some of the least important factors. Researcher also noted a “surprisingly low” (p. 124) correlation between authors’ interest in copyright retention and practices of self-archiving. Thirty-seven percent of authors surveyed reported self-archiving at least one of their publications, but just over 35% of the same group considered copyright retention a determinant when choosing journals for publication.
 
 Overall, only 22% of the authors surveyed deemed e-journals to be “less desirable” than print journals. The majority of both tenured faculty (77.4%) and tenure-track faculty (72%) surveyed found e-journals “acceptable” or difference between print and electronic journal format “not an issue.” Only 16.8% of authors surveyed had published in journals that required author fees. Moreover, over 56% of authors indicated they would not publish in journals requiring such fees.
 
 Most authors reported they were either very aware (45.1%) or somewhat aware (38.9%) of the concept of OA publishing. However, their perceptions of OA publishing varied:
 • 47.7% believed OA journals have faster publication times, while 33.6% disagreed and 18.5% offered no opinion.
 • 57.3% of authors believed OA journals have larger readerships. However, when asked whether OA articles would be cited more frequently than others, only one third of authors agreed, while one third disagreed and one third offered no opinion.
 • Just under half of the authors (49.4%) thought OA journals are not less prestigious than subscription based journals, while 18.8% had no opinion.
 
 Lastly, it should be noted that only 7.1% of authors credited their institution’s library for making them aware of the OA publishing concept. Most credited their colleagues (42.1%), Google searches for publishing opportunities (40.4%), and professional societies (29.3%) for raising their awareness of OA. Moreover, based on voluntary general comments left at end of the survey, researchers observed that some authors viewed the terms open access and electronic “synonymously” and thought of OA publishing only as a “format change” (p.125).
 
 Conclusion – The study revealed some discipline-based differences in authors’ attitudes toward scholarly publishing and the concept of OA. The majority of authors publishing in education viewed author fees, a common OA publishing practice in life and medical sciences, as undesirable. On the other hand, citation impact, a major determinant for life and medical sciences publishing, was only a minor factor for authors in education. These findings provide useful insights for future research on discipline-based publication differences.
 
 The findings also indicated peer review is the primary determinant for authors publishing in education. Moreover, while the majority of authors surveyed considered both print and e-journal format to be equally acceptable, almost one third viewed OA journals as less prestigious than subscription-based publications. Some authors also seemed to confuse the concept between OA and electronic publishing. These findings could generate fresh discussion points between academic librarians and faculty members regarding OA publishing.

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 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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.729
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0070.554
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.122
GPT teacher head0.388
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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
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

Citations5
Published2011
Admission routes1
Has abstractyes

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