Interdisciplinary, Interactive, and Online: Building open communication through multimodal scholarly articles and monographs
Bibliographic record
Abstract
The emergence of digital scholarship in the humanities and the social sciences has brought a renewed emphasis on culture, at the levels of modelling and communication. New forms of digital scholarship—including projects in big data, physical computing, and gameful design—experiment with methods for modelling cultural data, considering how the historical and social issues addressed by the humanities and the social sciences can be expressed through electronic means. Alongside these advances, equal progress is under way in the realm of scholarly communication. Developments in the areas of peer review, scholarly collaboration, and digital publishing, including the development of Open Journal Systems (OJS), spur the growth of online cultural and intellectual communities surrounding humanistic endeavour. As these advancements progress alongside each other, the question of how they might be integrated remains. Coupling advancements in the realm of digital scholarship with new forms of publishing and peer review promises to leverage the affordances of both, making public-facing platforms for cultural content, while building vibrant intellectual communities around them.
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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 | 0.023 | 0.083 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.018 | 0.038 |
| Open science | 0.003 | 0.031 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".