MétaCan
Menu
← Back to cohort
Record W6998637842

The Africadian Blues: A Conversation with George Elliott Clarke

2021· article· en· W6998637842 on OpenAlexaboutno aff

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsBluesGeorge (robot)ConversationNova scotiaIdentity (music)Performance art
DOInot available

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 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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.247
Threshold uncertainty score0.496

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0460.018
Scholarly communication0.0070.004
Open science0.0020.003
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0050.001

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 head0.013
GPT teacher head0.192
Teacher spread0.179 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueProject Muse (Johns Hopkins University)→Same topicShort Stories in Global Literature→French-language works237,207→