Bibliographic record
Abstract
Until the late 1970s, migration research seemed to assume that most migrants were male. It obscured the fact that women, too, were “on the move” and simply relegated female migrants as accessories to men. Today, the global dimensions of female migration are indisputable. Current research on the feminization of migration gives a face and voice to women, largely from developing countries, who have become key economic contributors to both the sending and receiving societies. It also brings into focus the paucity of research about the role and importance of Italian-Canadian immigrant women with respect to the success of many Italian immigrant families who arrived in the post–Second World War Italian diaspora. Within the growing research on female migration, this paper reviews the stereotypic representation of la nonna canadese in popular culture, Italian-Canadian literature, and the social sciences. Through the Nonna Canadese 2.0 Project, which involves one-on-one interviews with women who arrived in Canada in the 1950s and 1960s, this paper offers an updated perspective of the Italian-Canadian immigrant woman, one which allows her to take pride of place alongside her male counterpart.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.015 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".