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Record W2915185522 · doi:10.22215/etd/2015-11082

Being Irish on the Prairies: Repertoire, Performance, and Environment in Oral History Narratives of Winnipeg Irish Canadians

2015· dissertation· en· W2915185522 on OpenAlexaffabout
Kathryn Boschmann

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsIrishRepertoireNarrativeDanceIdentity (music)HistoryOral historyEmbodied cognitionVisual artsMedia studiesGender studiesGenealogySociologyAestheticsArtLiteratureArchaeologyLinguistics

Abstract

fetched live from OpenAlex

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).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.275
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.032
GPT teacher head0.231
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes2
Has abstractyes

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