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Record W4406686501 · doi:10.7202/1115551ar

“I Doubt If They Were Unusual”: Race and Place in Helen Creighton’s 1967 African Nova Scotian Recording Project

2024· article· en· W4406686501 on OpenAlexaffvenueabout
Chris Greencorn

Bibliographic record

VenueMUSICultures · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsQueen's University
Fundersnot available
KeywordsNova (rocket)Race (biology)ArtHistoryGender studiesSociologyEngineeringAeronautics

Abstract

fetched live from OpenAlex

Helen Creighton (1899–1989) was one of Canada’s foremost folk song collectors and folklorists. Her fieldwork, which spanned the late 1920s to the mid- 1960s, centred on her home province of Nova Scotia. This article critically examines Helen Creighton’s 1967 recording project in African Nova Scotian communities, particularly in the historic settlement of Africville during its notorious displacement by the city government of Halifax. Despite receiving little attention in the half-century since, the 1967 project offers considerable insight into the place of race and racialization in Creighton’s influential conception of Nova Scotian folk culture. I argue that Creighton observed a double standard around the authenticity of the African Nova Scotian songs she collected vis-à-vis those collected in white communities, and that this inequitable treatment was intrinsically connected to the rhetorical and physical displacement of African Nova Scotians that underwrote her project.

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 score0.092
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0260.012
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.270
Teacher spread0.247 · 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
Published2024
Admission routes3
Has abstractyes

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