Online Publishing, Technical Representation, and the Politics of Code: The Case of <i>CJC Online</i>
Bibliographic record
Abstract
The Canadian Journal of Communication ( CJC) began to experiment with online technologies in 1994, in part as a response to the increasing commodification of scholarship by commercial academic publishers. This article reviews and reflects on the CJC’s online publishing efforts over the past decade and suggests that online publishing technology is a site of struggle that is situated by and situates academics, publishers, and readers along interdependent axes of agency, citizenship, and commodification. Today, the CJC uses and contributes to the Open Journal Systems (OJS) publishing technology developed by the Public Knowledge Project. We argue that academic-initiated undertakings such as OJS and the Canada-wide Synergies project present academics with strategic opportunities to define and control online scholarly publishing.
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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 | 0.010 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.077 | 0.060 |
| Scholarly communication | 0.031 | 0.011 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".