Bibliographic record
Abstract
Italian Identities, consists of nine chapters written by eleven authors.The editors write in the work's introduction that "'Italian Identity' can cover both identities that are intimately bound up with the idea of Italy and those which are simply individual identities of people, places and things within Italy" (ix).This leaves readers with a highly nuanced understanding of "Italian" identity.Whereas the first five chapters of the book examine individual identities without explicitly connecting them to dominant Italian culture or broader manifestations of Italianness, the last four chapters of the book insightfully link their topics of study with larger issues regarding Italianit.In the first chapter of Italian Identities Diana Glenn engagingly depicts Dante Alighieri's pseudo-autobiographical psychological, spiritual, and metaphorical peregrinations in the Divina Commedia as well as the poet's search for belonging.In the second chapter Irene Belperio expounds on a new current in Dante Studies by focusing on how the "polysemy" of Dante's works may pedagogically utilize animated, digital, and multimedia representations of his poetry in light of the function of the Western literary canon.This is followed by a third and final essay on Dante in which Liz Campbell studies the meaning of Dante's use of fraudulent counsel and pride as dominant themes in the Inferno's Canto XXVI and Canto XXVII.Departing from Dante Studies, the fourth chapter is written by Luigi Gossago and analyzes how Environmental Criticism, or Ecocriticism, may be applied to various works found in several epochs and genres of Italian literature.Gossago also discusses how such criticism may be used as a pedagogical tool for reexamining "pseudo-rationalistic 'humancentredness,' which is currently at the core of our 'quantification-obsessed global economy'" (52).In the fifth chapter Lousie Baird explores Natalia Ginzburg's depiction of family dynamics and protagonist self-awareness in the novels Caro Michele and La citt e la casa by thoroughly examining the works' epistolary narratives.Beginning in the sixth chapter of Italian Identities, however, readers encounter a more direct treatment of Italian identity.Whereas the first five chapters discuss Italian people or works without linking them to a greater understanding of Italianness, subsequent chapters do the opposite.In the sixth chapter Josh Carter fascinatingly studies the hybrid Somali-Italian identity of writer Igiabo Scebo in her life and works.This chapter notably explores the role of "autofiction"
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.005 |
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".