The Open Scholarship Commons: Advancing Research for the Public Good
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
The ground is shifting at our educational institutions. We are asked to demonstrate the value of our research to a wider public, particularly as public funding comes with requirements of openly sharing funded research results. At the same time, we are witnessing an educational shift from students as consumers of knowledge to students as co-creators of new knowledge. How can libraries, the traditional keepers and guardians of knowledge, grow to support this changing world? Our library will offer a new space that brings together partners at our academic institution to support the entire research cycle from the conception of an idea to the creation and dissemination of new knowledge in service of advancing research for the public good. Through this paper, we will share our process for creating this new space and how it will open opportunities for the production and sharing of scholarship beyond the academy.
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 | 0.018 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.021 | 0.006 |
| Open science | 0.016 | 0.008 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it