So 'na Bujanes[a] in Canada: the language & poetry of Concetta Sinibaldi
Bibliographic record
Abstract
When one considers the history of immigrants in Canada, many of the details get lost. Toronto has had a long history of an Italian presence and community in the city, but most forget that these immigrants began elsewhere, and in particular, it is largely women who are forgotten as social historians put the pieces together. Through a series of extensive interviews with one Italian immigrant woman who arrived in Toronto in 1956 and through an examination of the folk poetry she wrote, this thesis attempts to fill in some of those details of her identity, pre- and post-immigration. Moreover, it also closely considers the importance of the poetry she wrote as it related to her life. -- Concetta's poetry can be defined as "folk" because it played two major roles. The poetry she wrote about her beloved Boiano allowed her to remember a time and place that no longer existed after the Second World War, and when she extended it to her fellow Boianesi in Canada, her poems acted as a mouthpiece for the community as well. The birthday poems she wrote for her family and her friends meant that she could fill her role as the matriarch, the "nonna." These poems, particularly the ones she wrote for her granddaughters, dispensed advice in the safe form of a loving poem. The thesis culminates with a discussion on the poem she write for her 60th wedding anniversary, which combines elements of her Boiano poems and her birthday poems in order to create what was probably her most personal and sophisticated poem.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.026 | 0.012 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| 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".