She is My Motherland: il viaggio in Sicilia di Venera Fazio e Delia De Santis
Bibliographic record
Abstract
Pubblicata nel 2004 dalla casa editrice Legas, l'antologia Sweet Lemons: Writings with a Sicilian Accent edita da Venera Fazio e Delia De Santis rappresenta il primo tentativo di raccogliere in un unico volume testi e testimonianze di scrittori siciliani che, in modo diverso, fanno i conti con il proprio displacement e il proprio destino di emigranti.Lungi dall'essere omogeneo e organico, Sweet Lemons è un volume che si contraddistingue per la sua multiformità e in cui il lettore si trova a passare dalla prosa alla poesia al teatro con grande disinvoltura.È questo, del resto, uno degli scopi delle curatrici, come spiega Venera Fazio nell'introduzione:To highlight the diversity of talent and the complexity of Sicilian culture and immigrant experiences, Delia and I included a range of writing genres: short stories, poems, essays, memoirs, legends, folk tales, plays, book excerpts, and one film script.( 16)
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".