Veneti in Canada. A cura di Gianpaolo Romano. Ravenna: Longo Editore, 2011.
Bibliographic record
Abstract
un intenso lavoro promosso dalla Giunta Regionale del Veneto in relazione alle attività della Consulta dei Veneti nel Mondo con l'obiettivo di suscitare l'attenzione verso una delle comunità italiane all'estero tra le più vitali e che ormai si è inserita perfettamente nel tessuto politico, economico e sociale della realtà canadese.Il volume analizza, sotto varie angolazioni, la storia della presenza della comunità italiana veneta in Canada attraverso un discorso diacronico che si articola attraverso quattro capitoli dedicati rispettivamente al profilo storico e multiculturale della presenza degli italiani in Canada, al problema dell'emigrazione italiana, agli aspetti della presenza italiana e veneta in Canada e, in ultimo, all'associazione veneta.I capitoli, oltre alla
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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".