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Record W7038619940

Kenneth Peacock's Songs of the Newfoundland outports: the cultural politics of a Newfoundland song collection

2004· dissertation· en· W7038619940 on OpenAlexaboutno aff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2004
Typedissertation
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFolklorePoliticsMusicalEthnic groupDocumentationFolk songCultural politicsFolkloristics
DOInot available

Abstract

fetched live from OpenAlex

Between 1951 and 1961, under the influence of anthropologist Marius Barbeau, \nKenneth Howard Peacock (1923-2000), a classically trained musician and composer from \nOntario, visited Newfoundland six times on behalf of the National Museum of Canada to \ncollect folksongs, later producing a three-volume work, Songs of the Newfoundland \nOutports (1965). While Peacock's work has been celebrated by many, his approach to \nfolk culture documentation has often concerned scholars. This study articulates the \nsocio-cultural impact of Outports in Newfoundland and Canada by outlining to persons \nwho have misunderstood Peacock's research what he was trying to accomplish. It takes \ninto account the status of folklore research at the National Museum in the 1950s and the \nconditions under which Peacock carried out this work. It provides a critical review of \nPeacock's Newfoundland fieldwork with a view to better understanding his motivations \nfor creating Outports and his treatment of the materials he collected. \nAlong with such peers as Marins Barbeau, Helen Creighton, Edith Fowke, Tom \nKines, Sam Gesser and Alan Mills, Peacock is a noted pioneer contributing substantially \nto our understanding of Canadian folklore and the shaping of Canadian folklore \nscholarship. He took over the Newfoundland research from former School of Music \nclassmate Margaret Sargent (McTaggart) in 1951. Leaving his composing career in the \ndistance he devoted the next twenty years to researching the country 's ethnic and native musical traditions. This study takes into consideration the cultural politics of the day \nsuch as National Museum policies and directions at the time and how the growth of the \nCanadian folk revival during the1950s and '60s influenced his work. It considers the \ndynamic relations between Peacock and other individuals who had a vested interest in \ndocumenting and presenting Newfoundland culture including Maud Karpeles and folk \nrevivalist Ralph Rinzler. \nAlthough Peacock's representation of Newfoundland's folk culture tended to be \noverly-romanticized, reflecting his Toronto upbringing, his work has had a long-lasting \nimpact. It later reshaped Newfoundlanders' views of the extent of their own musical \ntraditions and contributed to the Newfoundland-centered folk revival. As a revivalist \nPeacock was driven to see that music from his field research would be made available to \nCanadians. Analysis of his Newfoundland collection reveals, however, that Peacock \nedited and reworked both texts and music. This is addressed in the thesis through the \ncreation of a scholarly tool called a "Catalogue of Kenneth Peacock's Music Collection" \nlinking his published and unpublished materials into one useable explanatory unit. New \nknowledge regarding Peacock's life and times facilitates our understanding of this man's \nimmense contribution to both Newfoundland and Canadian folklore scholarship while at \nthe same time allowing researchers to make greater use of the materials he so diligently \ncollected.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.370

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0300.015
Scholarly communication0.0090.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.026
GPT teacher head0.256
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2004
Admission routes1
Has abstractyes

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