She is My Motherland: il viaggio in Sicilia di Venera Fazio e Delia De Santis
Bibliographic record
Abstract
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 un volume che si contraddistingue per la sua multiformit e in cui il lettore si trova a passare dalla prosa alla poesia al teatro con grande disinvoltura. 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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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; both teacher heads agree on what is shown here.
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".