The Most Irish Place in the World? "Irishness" in the Recorded Folk Music of Newfoundland and Labrador
Bibliographic record
Abstract
In the past few decades, Newfoundland and Labrador (NL) has been increasingly viewed as inherently Irish in nature. As a North Atlantic island and a former British colony with a boom/bust economic cycle, NL shares many ethnic, geographic, and economic similarities with Ireland. The rocky landscape, foggy weather, friendly people, and the slightly Hiberno-English accent of the capital city often reminds visitors of Ireland. As an extension, Newfoundland and Labrador culture as a whole, and music in particular, is frequently assumed to primarily be a product of Irish heritage. Certainly many Newfoundlanders have Irish ancestry and the history of the Irish in Newfoundland is incredibly important. However, it does not necessarily follow that the music heard today in pubs and on recordings stems directly from that history. The story is much more complex. Today, Newfoundland music that is labelled traditional comprises musics handed down through generations of English, Irish, Scottish, and French ancestors, as well as local compositions, and music exchanged through cultural, economic, or technological flows via printed media, radio, television, recordings, and personal contact between musicians near and far. This article examines how Newfoundland music came to be perceived as Irish through three periods of heightened musical interactions with Irish musicians.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".