World’s Fairs Italian Style: The Great Exposition in Turin and Their Narratives, 1860-1915
Bibliographic record
Abstract
own reflections on the topics under discussion.His prose, while scholarly, has personal touches, and one intuits in it his admiration for the critics he has chosen, as his chapters on Anna Banti and Bernard Chandler, in particular, demonstrate.On the latter's work, he comments that for Chandler "intelligenza e scrupolo filologico in lui coesistono sempre, e la sua ricerca può ispirare letture contrastanti proprio per la fedeltà assoluta che ha nei confronti di un autore complesso."(74).The same may be said also of Parisi's fine and fundamental work in this study.Both volumes under review will undoubtedly prove important supports to scholars who, through their own studies, hope to invite new readers to Manzoni's faithful group of twenty-five.
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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 | 0.000 | 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) | 0.001 | 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".