Issues of Adaptation and Identity in The Lives of Italian-Canadians: After the Age of Immigration
Bibliographic record
Abstract
In their papers these authors provide us with a wide range of the Italian-Canadian's experiences in the new world.The main theme of this volume is the achievements of the Italian-Canadian community from the beginning of the immigration wave to present day and both first and second generation Italians are taken into consideration.One of the major issues discussed is that of identity and the interaction between cultural heritage and Canadian identity.Together with identity, the volume also focuses on cultural adaptation and the struggles immigrants had to go through to integrate with the rest of Canadian society.Integration might not be the correct word to use when referring to the Italian-Canadian community as it would indicate a loss of one's own native cultural identity in favour of the Canadian one.Was this type of integration necessary and did it take place?Let's take a look at some of the testimonies present in this volume to better understand this issue.Maria Coletta McLean talks about the inspirational power of the Italian and Canadian landscapes in her poetry, but, most importantly, she talks about the struggles of growing up as an Italian-Canadian woman and of the discrimination she encountered not just because of her background, but also because of her gender.Talking about other Italian-Canadians during the 50s and 60s, Coletta McLean writes:Parents were unfashionably strict, especially with the daughters.Girls were expected to stay home and help in the kitchen.Girls were expected to be soft spoken and respectful; girls were expected to be con-ITALIAN CANADIANA,
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.087 | 0.038 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 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".