Being Irish on the Prairies: Repertoire, Performance, and Environment in Oral History Narratives of Winnipeg Irish Canadians
Bibliographic record
Abstract
This thesis applies Diana Taylor's concept of repertoire to oral history interviews with ten first generation Irish Canadians living in Winnipeg who emigrated between 1957 and 2012. It argues that traditional performances, such as music and dance, have acquired a provenance with particular histories. This has made them both meaningful and politically contentious expressions of Irish identity. Memory tensions emerged when the performances were integrated into a new repertoire in Canada. Taylor's concept is modified and applied to embodied encounters with landscape and weather. As experiences of a new place are incorporated into a spatial repertoire, they become infused with emotional significance, and emigrants' stories about visiting Ireland, surviving Manitoban winters, or driving across flat prairie spaces, communicate feelings of displacement and belonging. Accompanying this thesis is a website which further explores emotional memories in these interviews through an audio exhibit (www.beingirishontheprairies.ca).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".