Bibliographic record
Abstract
The article explores the changes in the last 40 years both in the language of Canadian ethnic literature itself and in its authors’ self-identifying as Italian Canadian in light of the developments of those years both in ‘identity politics’ and in Canada’s national sense of selfhood. En route it tests the usefulness of various labels used, over time, to identify these writings against the literary corpus produced for almost thirty years now by Nino Ricci, born and raised in Canada, by Italian immigrant parents.\nScrittura italo-canadese: pochi decenni possono fare la differenzaIl contributo analizza i cambiamenti che negli ultimi quaranta anni si sono verificati nel linguaggio, utilizzato per definire la letteratura etnica canadese, e nel modo in cui gli autori si sono identificati come italo-canadesi a fronte sia delle mutate politiche identitarie sia degli sviluppi nel senso nazionale di identità canadese, susseguitisi in quell’arco temporale. Per testare la validità delle varie etichette utilizzate via via per definire tale letteratura, viene esaminato il corpus letterario, ormai trentennale, prodotto da Nino Ricci, scrittore nato e cresciuto in Canada da genitori immigranti di origine italiana.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".