Imagining a Gold Open Access Future: Attitudes, Behaviors, and Funding Scenarios among Authors of Academic Scholarship
Bibliographic record
Abstract
The viability of gold open access publishing models into the future will depend, in part, on the attitudes of authors toward open access (OA). In a survey of academics at four major research universities in North America, we examine academic authors’ opinions and behaviors toward gold OA. The study allows us to see what academics know and perceive about open access models, their current behavior in regard to publishing in OA, and possible future behavior. In particular, we gauge current attitudes to examine the perceived likelihood of various outcomes in an all-open access publishing scenario. We also survey how much authors at these types of universities would be willing to pay for article processing charges (APCs) from different sources. Although the loudest voices may often be heard, in reality there is a wide range of attitudes and behaviors toward publishing. Understanding the range of perceptions, opinions, and behaviors among academics toward gold OA is important for academic librarians who must examine how OA serves their research communities, to prepare for an OA future, and to understand how OA impacts the library’s role.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.058 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".