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
On March 31st, 2009, Professor Wataru Takahashi retired from the Tokyo Institute of Technology. We dedicate this special issue in honor of Professor Takahashi. Professor Takahashi has tremendous influence in fixed point theory and applications, through his outstanding research activities with over 300 journal publications—the total citations of his papers exceeds 2000 times, according to the MathSciNet—and supervision of 43 graduate students spanning more than 40 years. The 33 articles in this issue contain significant contributions reflecting his works including fixed point theory, approximation of fixed points in nonlinear analysis, and convex analysis. Professor Takahashi continues to be extremely active on research after his retirement. Finally, we are grateful to Professor Ravi Agarwal and the publishers of the journal Fixed Point Theory and Applications for giving us the opportunity to edit this special issue.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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