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
Abstract Cover Story Survey: Registrar's offices reveal fee policies and their impact on student behavior Survey results reveal course drop, graduation fee practices Reasons for, against graduation application fees News & Notes California woman indicted for running fake university ED releases ‘Dear Colleague Letter’ on state authorization Educational attainment rising, census data reveals Student loan debt outstrips credit card debt Compliance Learn answers to questions about registered sex offenders Washington Report Review provisions of proposed FERPA regulations ED took additional measures to address privacy issues Understand ED's ‘flexible’ standard for credit hour definition Tools of the Trade Review expert tips on using Facebook for your institution Ethics How would you address threats of violence? Lawsuits & Rulings FERPA FPCO can't address complaint unless proof is provided ACADEMIC AFFAIRS Deference for academic judgment defeats discrimination claim DISABILITY Institution will notify students of inaccessible system at registration Leaders & Innovators ALAN J. SIMS, REGISTRAR, UNIVERSITY OF THE SCIENCES IN PHILADELPHIA Build relationships that foster student success Improve services with focus on constituents
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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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