<scp>Sandra Spanier</scp> and <scp>Miriam B. Mandel</scp> (eds). <i>The Letters of Ernest Hemingway</i>
Bibliographic record
Abstract
The fifth volume (of a now-projected seventeen) of Hemingway’s letters opens with Sandra Spanier’s reference to one of the volume’s many wonderful plates: Vanity Fair’s 1934 ‘full-page, full-color Ernest Hemingway paper doll, captioned “Ernest Hemingway, America’s own literary cave man; hard-drinking, hard-fighting, hard-loving—all for art’s sake”’ (p. xvii; see also plate 29). The Hemingway paper doll is literally a caveman complete with dead rabbit, club, and leopard-skin toga and is labelled ‘Ernie, the Neanderthal Man’. Subscribers could then cut out various costumes to dress up Ernie: Ernie as Don José, the toreador (a matador suit complete with cape, hat, and dead bull), Ernie as the Lost Generation (seated at a Parisian café surrounded by empty bottles), Ernie as the Unknown Soldier (on crutches limping away from a burning field hospital). It is not a modern revelation to emphasize, if not criticize, the performativity of Hemingway’s personae. In this volume,...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.186 | 0.170 |
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 source (direct Gemma or distilled Codex), 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".