Bibliographic record
Abstract
Crossing the American continent in the spring of 1913, Rupert Brooke stopped at the Chateau Lake Louise. There he met Leona1 Agnes Smith, Marchesa Capponi. Brooke’s letters to Agnes are few and short; perhaps because of this, no one has paid as much attention to her as to Brooke’s other lovers. Perhaps, too, because the letters from Rupert to Agnes have been known only in incomplete form, some have seen her as a very minor player in Rupert’s life. In fact, Martin and Hall, in their book Rupert Brooke in Canada, state that “In Washington [D.C] Brooke saw the Marchesa Capponi, but the spark had gone out of the affair. The attraction probably had been as much Lake Louise as the widow in the first place.”2 No doubt, Lake Louise was, for Rupert, a beautiful place. But Agnes Smith Capponi was, if a minor character, attractive to...
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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 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".