"It's strange, we're not Italian but we're not Canadian either" : the performance of ethnic identity among young Montreal Italians
Bibliographic record
Abstract
This thesis examines the ethnic and cultural identity markers of some Montreal Italians under the age of 35. The ethnography upon which this study rests was collected through personal, e-mail and phone interviews during the summer of 2008. This study focuses on how members of the Italian community in Montreal choose to shape and inform their ethnic identity through fluid and dynamic identity markers. First, the thesis introduces the reader to the Montreal Italian community and the main informants who were interviewed for this study. As well, the concepts of identity and ethnicity are examined within a folkloric framework. Next, the thesis delineates three case studies. Chapter Three examines the issue of fragmented identity and the change in intergenerational identity markers, using Our Lady of Mount Carmel Church as an example of a constantly evolving and complex marker of Italian identity. Visits to Italy by members of the younger generation of Montreal Italians are the focus of the fourth chapter as a way in which my informants reinforce their Italian identity. Finally, in Chapter Five, traditional food preparation such as tomato-canning is explored as a performance of identity and a way to shape and negotiate ethnic association.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".