Kenneth Peacock’s Contribution to Gerald S. Doyle’s Old-Time Songs of Newfoundland (1955)
Bibliographic record
Abstract
IN 1965, AFTER TEN YEARS of folksong research in Newfoundland, the classical musician and composer Kenneth Peacock (1922-2000) released a three-volume collection, Songs of the Newfoundland Outports, with 500 songs and variants, and a wide range of song material derived from the British, Irish, Canadian, French, and American traditions as well as several locally composed songs. It showed the strength and vitality of Newfoundland’s musical tradition as Peacock saw it, based on his field collecting in the 1950s and early 1960s on behalf of the National Museum of Canada (Guigne 2004). In this work, Peacock paid a small tribute to St. John’s businessman Gerald S. Doyle (1891-1956), remarking that he had been “more responsible than anyone else for making people aware of Newfoundland folksongs” (1, xxi). Alluding to Doyle’s popular songsters Old-Time Songs and Poetry of Newfoundland (1927, 1940) and Old-Time Songs of Newfoundland (1955), Peacock added, “though the value of his collection cannot be overestimated, its wide dissemination on the mainland has created the impression that Newfoundland folksongs consist entirely of locally composed material.” By publishing Outports he hoped to “correct that erroneous impression” (xxi). Peacock had a singular understanding of Doyle’s impact on the popularization of a select number of folksongs. Almost half of the 1955 songster, which Doyle published shortly before his death, was comprised of material Peacock himself had collected in 1951 during his first year of fieldwork in Newfoundland. Although Doyle acknowledged Peacock as a contributor to this particular edition, little is
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".