The Initial Impact of the Open Scholarship Policy Observatory
Bibliographic record
Abstract
In September 2016, members of the Implementing New Knowledge Environments (INKE) Partnership—a broad, diverse group working to advance understanding of, and resolve critical issues in, the production, distribution and widespread engagement of digital scholarship in Canada and beyond—met to discuss future directions and focus areas. One of the resulting initiatives is the Open Scholarship Policy Observatory. The Open Scholarship Policy Observatory tracks national and international policies and policy changes in order to assist INKE partners with developing timely and responsive policies. This paper describes the development of the initiative, and reports on the initial impacts the project has had to date.
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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 | 0.098 | 0.134 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.015 | 0.011 |
| Scholarly communication | 0.021 | 0.013 |
| Open science | 0.002 | 0.029 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.008 | 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".