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
EDITOR D.Z. PHILLIPS, University of Wales, Swansea and Claremont Graduate University EDITORIAL ADDRESS Department of Philosophy University of Wales, Swansea Singleton Park, Swansea, SA2 8PP ASSOCIATE EDITORS David Cockburn, University of Wales, Lampeter Peter Hacker, St John's College, Oxford Walford Gealy, University of Wales, Aberystwyth Laurence Goldstein, University of Hong Kong Peter Lewis, University of Edinburgh Marie McGinn, University of York H.O. Mounce, University of Wales, Swansea Stephen Mulhall, New College, Oxford Anthony Palmer, University of Southampton Guy Stock, University of Dundee, Scotland Mario von der Ruhr, University of Wales, Swansea Michael Weston, University of Essex ADVISORY EDITORIAL BOARD: John Canfield, Univeristy of Toronto ; Frank Cioffi, University of Essex ; L. Jonathan Cohen, University of Oxford ; John Cook; Cora Diamond, University of Virginia ; Frank B. Ebersole; Donald Evans, University of Otago; J. Hintikka, Florida State University, Tallahassee ; R.F. Holland, University of Leeds ; J.F.M. Hunter, University of Toronto ; A.R. Louch, Claremont Graduate School ; Alasdair MacIntyre, Duke University ; Frederick E. Mosedale ( Foundation Editor ); Brian McGuinness, University of Siena ; John McDowell, University of Pittsburgh .
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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