POWER, EMERGENCE, AND THE MEANINGS OF RESISTANCE: OPEN ACCESS SCHOLARLY PUBLISHING IN CANADA
Bibliographic record
Abstract
Open access publishing is an increasingly popular trend in the dissemination of academic work, allowing journals to print articles electronically and without the burden of subscription paywalls, enabling much wider access for audiences. Yet subscription-based journals remain the most dominant in the social sciences and humanities, and it is often a struggle for newer open access publications to compete, in terms of economic, cultural, and symbolic capital (Bourdieu, 2004). Our study explores the meanings of resistance held by the editors of open access journals in the social sciences and humanities in Canada, as well as the views of university librarians. To make sense of these meanings, we draw on Lonnie Athens’ (2015) radical interactionist account of power, and expand on this by incorporating George Herbert Mead’s (1932, 1938) theory of emergence, arguing that open access is characteristic of an “extended rationality” (Chang, 2004) for those involved. Drawing on our open-ended interview data, we find that open access is experienced as a form of resistance in at least four ways. These include resistance to (1) profit motives in academic publishing; (2) access barriers for audiences; (3) access barriers for contributors; and (4) traditional publishing conventions.
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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 | 0.013 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.014 |
| Science and technology studies | 0.072 | 0.055 |
| Scholarly communication | 0.033 | 0.009 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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".