Investigating academic library responses to predatory publishing in the United States, Canada and Spanish-speaking Latin America
Bibliographic record
Abstract
Purpose \nThis is a comparative investigation of how university libraries in the United States, Canada and Spanish-speaking Latin America are responding to predatory publishing. \n \nDesign/methodology/approach \nThe Times Higher Education World University Rankings was used to identify the top ten universities from each of the US and Canada, as well as the top 20 Spanish-language universities in Latin America. Each university library's website was scrutinized to discover whether the libraries employed scholarly communication librarians, whether they offered scholarly communication workshops, or whether they shared information about scholarly communication on their websites. This information was further examined to determine if it discussed predatory publishing specifically. \n \nFindings \nMost libraries in the US/Canada sample employ scholarly communication librarians and nearly half offer workshops on predatory publishing. No library in the Latin America sample employed a scholarly communication specialist and just one offered a workshop addressing predatory publishing. The websites of the libraries in the US and Canada addressed predatory publishing both indirectly and directly, with US libraries favoring the former approach and Canadian libraries tending towards the latter. Predatory publishing was rarely addressed directly by the libraries in the Latin America sample; however, all discussed self-archiving and/or Open Access. \n \nResearch limitations/implications \nBrazilian universities were excluded owing to the researchers' language limitations. Data were collected between September 15 and 30, 2019, so it represents a snapshot of information available at that time. The study was limited to an analysis of library websites using a fixed set of keywords, and it did not investigate whether other campus units were involved or whether other methods of informing researchers about predatory publishing were being used. \n \nOriginality/value \nThe study reveals some best practices leading to recommendations to help academic libraries combat predatory publishing and improve scholarly publishing literacy among researchers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".