Neural Activities during the Thinking for Wise Advising Future Generation: an fNIRS study
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
Chao S. Hu1,2, Liting Zeng3, Waxun Su3, Michael L. Thomas4, Shuaiyu Chen5,6, Michel Ferrari7, Qiandong Wang3*(corresponding author) 1 - Department of Medical Humanities, School of Humanities, Southeast University, Nanjing, China 2 - Psychological Research & Education Center, School of Humanities, Southeast University, Nanjing, China 3 - School of Psychology, Beijing Normal University, Beijing, China 4 - Department of Psychology and Molecular, Cellular & Integrative Neurosciences, Colorado State University, Fort Collins, Colorado 5 - Centre for Cognition and Brain Disorders, Affiliated Hospital of Hangzhou Normal University; Hangzhou, Zhejiang Province, P.R. China. 6 - Institute of Psychological Science, Hangzhou Normal University; Hangzhou, Zhejiang Province, P.R. China. 7 - Ontario Institute for Studies in Education, University of Toronto, Toronto, Canada
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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