1.5 and 2nd Generation Luso-Canadian Mothering: Language and Cultural Retention in the Greater Toronto Area
Bibliographic record
Abstract
This presentation is based on my thesis that identifies what the division of labour surrounding language and cultural retention is for 6-8 Canadian women of Portuguese decent (Luso-Canadians). Specifically, the issue of choice of retention and transmission of language and culture to children is addressed. These women are an interesting group as their social position enables a cultural hybridity where they choose which aspects of their culture(s) they would like to accept or reject and which to transmit to children. Rooted in a qualitative research design that involved interviewing, this presentation addresses: Do second generation Luso-Canadian mothers desire to sustain Portuguese cultural habits in themselves and subsequently teach their children? If so, what progressive steps do they take to ensure this? Do changes in family structure assist/hinder their choices? Initial findings suggest that regardless of partner’s ethnicity, there are varied differences associated with retention. For some, there may be a tension between wanting to be ‘Canadian’, and the broken language transmission between older family members. For others, there may be no value associated, and subsequently no need to teach culture and language that is not ‘Canadian’. The children in these households inevitably bear the future prospects of maintaining a vibrant Portuguese community in the Greater Toronto Area. Although the Portuguese community is a large population in relation to other immigrant groups in Canada, studies in Canadian academic journals are comparatively lower than other groups. This project will add to the existing literature while reflecting a small group of Luso-Canadian mothers.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".