Inequity, precarity, and disparity: Exploring systemic and institutional barriers in open access publishing
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.
Bibliographic record
Abstract
Despite increasing advocacy for open access (OA), its uptake in some disciplines has remained low. Existing studies have linked the low uptake of OA in the humanities and social sciences (HSS) to disciplinary norms, limited funding for article processing charges (APCs), and researchers’ preferences. However, there is a growing concern about inequity in the scholarly communication landscape, as OA publishing has remained unaffordable to many researchers. This study investigates systemic and institutional barriers to OA publishing in Canada, as well as strategies for improving the uptake of and equity in OA publishing. Using semi-structured interviews, qualitative data was collected from 20 professors from the HSS disciplines of research-intensive universities in the country. Data was analyzed using the NVivo software, following the reflexive thematic analysis approach. Findings revealed five systemic and institutional barriers to OA publishing: (1) unaffordable APCs; (2) precarious career stage and tenure requirements; (3) unequal privileges; (4) gender; and (5) conflicting and unsupportive institutional OA policies. We conclude that there needs to be a concerted effort in promoting and funding viable and sustainable OA models, which removes the financial burden of OA publishing from researchers. There is also an increasing need to promote OA culture within academia and provide institutional support for OA publishing. Notably, the model of academic scholarship that places prominence on journal metrics for tenure and promotion needs to be reformed. Some recommendations for reducing systemic and institutional barriers to OA publishing are provided.
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 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 | 0.035 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.037 | 0.065 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.074 | 0.233 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.000 | 0.000 |
| 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 it