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
[2]<br><br>journey very much. I visited Buffalo, friends up in Canada then back to Philadelphia, Atlantic City, and last but not least New York City where I was happy indeed for it is like home yet altho' so many old friends are gone, as are the dear huband and son with whom I used to enjoy so much, I had my dear daughter in law with me. and met so many who were connected with my former life in New York and there is so much of interest in that metropolis as<br><br>[3]<br><br>I really found it I dreaded leaving it all and coming way across to my lonely home here. But Nature in California is kinder to one as age comes on. and the blood chills, there are many attractions in this land of so much sunshine, and there are kind hearts every where. When one has lived to see their loved ones pass over into the "better land", the only thing left to comfort is the pleasure to be found in books and the joys wh. are common to every one<br>
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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