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Record W3128446334 · doi:10.2979/globalsouth.14.1.08

The Africadian Blues: A Conversation with George Elliott Clarke

2020· article· en· W3128446334 on OpenAlexaboutno aff
Ferguson

Bibliographic record

VenueThe Global South · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)BluesConversationSociologyPsychoanalysisMedia studiesArtArt historyPsychologyCommunication

Abstract

fetched live from OpenAlex

This illuminating and dynamic conversation with former Canadian Poet Laureate, George Elliott Clarke, reorients national perceptions of blues music and its influence on literature. Clarke’s encyclopedic knowledge of history, literature, and music paired with his nearly uncontainable joie de vivre takes over the page as he presents the bluesy tensions that come with being Africadian (African-Acadian-Canadian) in an increasingly global world. Clarke shows how the blues have given him access to an idiom that can represent his community in black Nova Scotia and represent the hallmarks of black experience in the New World, both oppressive and joyous. While Clarke recognizes that blues music is an African American creation, he also asserts that the blues is a global phenomenon that can be found in numerous forms of vernacular expression. Clarke is equal parts informative and provocative as he navigates Ferguson’s questions ranging from blues music’s influence to the pressures of identity on an Africadian writer of blues literature. This interview is for fans of blues music and literature, scholars of the Global South, and anyone interested in learning more about an important Canadian writer whose career has shaped black Canadian literature.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.892
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.166
Teacher spread0.142 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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