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
LIST OF CONTRIBUTORS PREFACE AND ACKNOWLEDGEMENTS 1. INTRODUCTION GEORGE ANDERSON 2. ARGENTINA JUAN ANTONIO ZAPATA 3. AUSTRALIA MICHAEL CROMMELIN 4. BRAZIL SERGIO WULFF GOBETTI, HELDER QUEIROZ PINTO JR., AND JULIANA DE CARVALHO SARDINHA 5. CANADA ANDRE PLOURDE 6. INDIA LIGIA NORONHA AND NIDHI SRIVASTAVA 7. MALAYSIA WEE CHONG HUI 8. MEXICO VICTOR G. CARREON-RODRIGUEZ AND JUAN ROSELLON 9. NIGERIA WUMI ILEDARE AND ROTIMI SUBERU 10. PAKISTAN GULFARAZ AHMED 11. RUSSIA GALINA KURLYANDSKAYA, GLEB POKATOVICH, AND MIKHAIL SUBBOTIN 12. UNITED STATES OF AMERICA PETER MIESZKOWSKI AND RONALD SOLIGO 13. VENEZUELA OSMEL MANZANO, FRANCISCO MONALDI, JOSE MANUEL PUENTE, AND STEFANIA VITALE 14. REFLECTIONS ON OIL AND GAS IN FEDERAL SYSTEMS GEORGE ANDERSON INDEX
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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