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Record W4404217552 · doi:10.1080/01462679.2024.2422589

Faculty Response to Journal Cancellations

2024· article· en· W4404217552 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCollection Management · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsWestern University
Fundersnot available
KeywordsLibrary sciencePolitical scienceComputer science

Abstract

fetched live from OpenAlex

This paper reports on a qualitative study that aimed to discover faculty and graduate students’ reaction to journal cancellation projects. In most studies that examine cancellation projects the main aim is to delineate methods used in making decisions about cancellations and the process followed to achieve a successful outcome. Our study looked at these factors but also interviewed faculty to get their response to the cancellations that had occurred at their university and to discover whether there was an alignment between the different ways in which librarians and faculty evaluated journals. We interviewed fourteen librarians and thirteen faculty/graduate students from five medium-sized Canadian universities. Our analysis of the librarian interviews indicated that one of their major concerns when embarking on a cancellation project was the negative reaction they might get from faculty. To counteract this response, librarians made a concerted effort to make them aware of the upcoming cancellations and to provide alternative methods to access journals if their important journals were cut. From the faculty interviews we learned their reactions to these efforts and their knowledge of the journal publishing ecosystem. We also had librarians rank the importance of nine factors used when deciding to buy back journals, and asked faculty to indicate the importance of similar factors in their evaluation of journals. An interesting finding was that although librarians felt that citation metrics were the most important criteria to faculty in evaluating journals, faculty did not consider them as important as other factors. In conclusion we found that there was a stronger alignment between librarians’ and faculty/graduate students’ journal value metrics than librarians previously expected providing opportunities for them to work with faculty to find solutions to the current inequitable journal pricing situation.

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, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.295
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.092
GPT teacher head0.480
Teacher spread0.388 · 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