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Record W4411096469 · doi:10.1515/jnhpr-2022-040201

Favouring Responsible Publishing: Creating a Database of Researchers and Surveying Their Knowledge, Attitudes and Opinions towards Open Access Publishing and a New Field-Specific Journal

2022· article· en· W4411096469 on OpenAlexafffund
Jeremy Y. Ng, Halton Quach, Jeremy Steen, Zheng Ming, Tushar Dhawan, Julian Vincent T. Dychiao, Aisha Hashmani, Bismah Jameel, Kirrthana Jegathesan, Leah Kogan, Xiao Wen Li, Natasha Reyes, Jill Shah, Fredrick D. Ashbury, Kieran Cooley, Pierre S. Haddad

Bibliographic record

VenueJournal of Natural Health Product Research · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsUniversité de MontréalCanadian College of Naturopathic MedicineUniversity of TorontoMcMaster UniversityImpactOttawa Hospital
FundersGovernment of CanadaAustralian Government
KeywordsPublishingOpen access publishingField (mathematics)World Wide WebComputer scienceData scienceLibrary sciencePolitical scienceMathematicsLaw

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION: There may be value to understanding the interests and needs of a journal’s audience, particularly regarding open access publishing (OAP) and behaviours associated with predatory publishing while establishing a new field-specific journal. As a new journal facing potential challenges in the publishing space, the Journal of Natural Health Product Research (JNHPR) undertook a stakeholder and community feedback initiative on publishing research in the field of natural health products (NHPs). To our knowledge, this is the first study where academic representatives of the journal used this method to examine the knowledge, attitudes, and opinions of its potential audience. METHODS: A database of international researchers in the NHP field was built using publicly available online data. Most NHP researchers were identified by a keyword-based, systematic search, with a small percentage discovered through snowball sampling. A survey was distributed to all identified researchers to collect their knowledge, attitudes, and opinions about OAP and the JNHPR. RESULTS: The survey was completed by 167 NHP researchers and demonstrated a wide range of attitudes and opinions about OAP. Most respondents were familiar with OAP and preferred the OAP model over a subscription-based journal. Additionally, responses indicated that OAP is a polarizing and controversial subject. Positives included the wider circulation and potential for shorter publication times, while negatives included the potential for less rigorous peer-review standards and generally higher costs. Regardless of perceptions on OAP, impact factor, reputation, scope, and indexing were the most valued factors when choosing a journal for submission. DISCUSSION: According to the survey results, the JNHPR excels in some areas while also needing to improve in others. The journal succeeds in two areas: its broad scope, which attracts NHP researchers from a variety of disciplines, and its rapid publishing time. Indexing and further reduced publication fees for lowincome nations were mentioned as areas in need of improvement.

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)0.059
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch, Scholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0590.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.000
Scholarly communication0.0320.026
Open science0.0030.006
Research integrity0.0000.007
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 head0.614
GPT teacher head0.529
Teacher spread0.085 · 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 designNot applicable
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

Citations0
Published2022
Admission routes2
Has abstractyes

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