Chiesa e immigrati italiani in Nord America: il caso dell’Ontario
Bibliographic record
Abstract
In recent decades there have been many studies on Italians in Canada, or essays on the role of the Catholic Church in the immigrant Italian communities there. But they aim to build a single model, working in parallel on what happened in Quebec and in English Canada, thus ignoring differences in the historical development of these two sets. Secondly, they did not give sufficient attention to the specificity of Ontario in Canada and to the comparis among the Ontarian case and what happened in other English-speaking provinces of East or West Canada. Finally, they did not stress that the intervention in favor of Italians in Ontario followed the lines of previous actions and earlier debates in the United States. Recover these three elements in a small number of pages is not a walk, but this essay will try to do it analyzing Holy See’s archives and the historical literature on Italian in Ontario.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.025 | 0.009 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".