Bibliographic record
Abstract
What They LostThey crossed the Seine at pont Solferino just as the sun dropped down into clouds that presaged rain.They had spent most of the day in the shops of Palais Royal, not so much shopping as brows ing, although they did buy a few very old picture postcards and a French flag from the medallion boutique.Now they were going to their favorite cafe in the heart of the Latin Quarter where they knew Ahmed was just beginning to prepare the brochette de mouton for the spits and the couscous for the pots.They turned down rue de l'Universit?which, they knew, would become rue Jacob, and maybe this time they would locate Hemingway and Hadley's apartment.Mus?e d'Orsay was dark against the sky, but the little tabac oppo site was brightly lit, and Carolina reminded James that he really ought to allow himself a package of Caf? Creme blond since he loved to have an occasional cigar when they were in Paris.?I really shouldn't, he said.?Oh, please, go on.You've quit anyway, she said.
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.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".