Bibliographic record
Abstract
This thesis explores musical performance in an Ontario-based Croatian-Canadian community in the early 21st century. It assumes that since such performances both reflect social values and help to constitute them, musical activity then serves to negotiate identity. -- The 1990s saw the breakup of and subsequent armed conflict between the states of the former Yugoslavia. This time of political and violent struggle impacted Croatian diaspora communities: nationalist rhetoric of the homeland resonated with and was promulgated throughout the diaspora in Canada. Over 15 years have passed since Croatian independence, yet diaspora activities continue to invoke references to nationalist themes. Why is this so? -- Examining community musical activities raises a number of questions: Where do nationalist themes appear? What forms do they take? Why are these choices made, who makes them, and to what end? Case examples of musical performance include a 2006 folklore festival and a homeland folklore performance tour, supplemented by data from Internet discussion room postings (an important setting where alternative and dissenting viewpoints may be expressed in an anonymous fashion). -- The study finds that nationalist themes are welcome if not encouraged in certain circumstances. In cases where such themes appear, notions of "Croatianness" ("being Croatian") draw from the 1940s Independent State of Croatia and ultra-nationalist movements of the 1990s, including symbols and references pertaining to the maintenance of a perceived "enemy," selective tellings and interpretations of history and culture, and glorification of war criminals. I have found that such themes are often part of community activity as efforts to portray a homogenous or united understanding of what it means to be "Croatian" and thereby alleviate perceived threats posed by discord within the community and assimilation into mainstream Canadian society.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.031 | 0.011 |
| Scholarly communication | 0.009 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".