Making Scientific Content More Accessibled Article
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
Simon James Goring*1¶, Kaitlin Stack Whitney2¶, Emilio M. Bruna3,4, Aerin L. Jacob⁵, Timothée Poisot⁶ ¹Department of Geography, University of Wisconsin, Madison, Wisconsin, United States of America ²Science, Technology, & Society Department, Rochester Institute of Technology, Rochester, New York, United States of America ³Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, United States of America ⁴Center for Latin American Studies, University of Florida, Gainesville, Florida, United States of America ⁵Yellowstone to Yukon Conservation Initiative, Canmore, Alberta, Canada ⁶Département de Sciences Biologiques, Université de Montréal, Montréal, Quebec, Canada *Corresponding Author E-mail: goring@wisc.edu (SG) ¶ These authors contributed equally to this work.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.125 | 0.017 |
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