Gone to the Mainland and Back Home Again: A Critical Approach to Region, Politics, and Identity in Contemporary Newfoundland Song
Bibliographic record
Abstract
A VARIETY OF ISSUES that foreground life in Newfoundland today, and life in a variety of forms in immigrant and small-scale communities worldwide, can be learned through the study of contemporary Newfoundland song. Contemporary Newfoundland song embodies the struggle between localization and globalization, in its texts, musical style, and functionality. Through the influences of migration and diaspora, it becomes a tool for understanding the worldview of the Newfoundland community as a whole. As a tradition-based genre which borrows from American-style country and western and popular music, it becomes an example of the lived complexities of musical categorization. Contemporary Newfoundland song is a rich text that demonstrates the limitations of essentialized approaches to region and genre. While often nostalgic in nature, and thus sometimes critiqued as counterproductive to the liberation of cultural identity (the “goofy Newfie” stereotype), it gives a vernacular description of the development and problematization of region, politics, and identity. It helps us to better ask the questions: What is Newfoundland identity? What is Newfoundland music? What are the geographic and cultural boundaries of Newfoundland space? While reconstructing — and sometimes limiting — our knowledge of the past, Newfoundland song likewise directs our future. My approach to these questions is largely based in ethnographic research and the study of critical regionalism — the analysis of region as a series of overlapping and interconnected spaces (social, cultural, and ecological) that must be kept in bal-
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.031 | 0.054 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".