Recovering a Function from a Dini Derivative
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
Click to increase image sizeClick to decrease image size Additional informationNotes on contributorsJohn W. HagoodJOHN W. HAGOOD did undergraduate work at the New Mexico Institute of Mining and Technology and received a Ph.D. from the University of Utah in 1977. He then taught at Murray State University for four years before joining the faculty of Northern Arizona University, where he has been since 1981. His interests lie in analysis, especially measures and integrals, and the use of technology in teaching and learning.Brian S. ThomsonBRIAN S. THOMSON received his undergraduate education at the University of Toronto and his graduate degrees at the University of Waterloo. His first academic position was in Waterloo, following which he moved in 1968 to Simon Fraser University, where he is now professor emeritus. His research interest is in classical real analysis, and he is a coauthor of two real analysis textbooks. Currently he serves on the editorial boards of the Real Analysis Exchange and the Journal of Mathematical Analysis and Applications.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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