Global Geography of ‘Little Italy’: Italian Neighbourhoods in Comparative Perspective
Bibliographic record
Abstract
Between 1870 and 1970 the migration of 26 million people from Italy produced an uneven geography of Little Italies worldwide. Migrants initially clustered residentially in many lands, and their festivals, businesses, monuments and practices of everyday life also attracted negative commentary everywhere. But neighbourhoods labelled as Little Italies came to exist almost exclusively in North America and Australia. Comparison of Italy's migrants in the three most important former ‘settler colonies’ of the British Empire (the USA, Canada, Australia) to other world regions suggests why this was the case. Little Italies were, to a considerable extent, the product of what Robert F. Harney termed the Italo-phobia of the English-speaking world. English-speakers’ understandings of race and their history of anti-Catholicism helped to create an ideological foundation for fixing foreignness upon urban spaces occupied by immigrants who seemed racially different from the earlier Anglo-Celtic and northern European settlers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".