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Record W4391863817 · doi:10.51644/9781554582341

Blues and Bliss

2008· book· en· W4391863817 on OpenAlexaboutno aff
Jon Paul, George Elliott Clarke

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPsychology
TopicSound Studies and Aurality
Canadian institutionsnot available
Fundersnot available
KeywordsBLISSBluesArtArt historyComputer scienceProgramming language

Abstract

fetched live from OpenAlex

Blues singer, preacher, cultural critic, exile, Africadian, high modernist, spoken word artist, Canadian poet—these are but some of the voices of George Elliott Clarke. In a selection of Clarke’s best work from his early poetry to his most recent, Blues and Bliss: The Poetry of George Elliott Clarke offers readers an impressive cross-section of those voices. Jon Paul Fiorentino’s introduction focuses on this polyphony, his influences—Derek Walcott, Amiri Baraka, and the canon of literary English from Shakespeare to Yeats—and his “voice throwing,” and shows how the intersections here produce a “troubling” of language. He sketches Clarke’s primary interest in the negotiation of cultural space through adherence to and revision of tradition and on the finding of a vernacular that begins in exile, especially exile in relation to African-Canadian communities. In the afterword, Clarke, in an interesting re-spin of Fiorentino’s introduction, writes with patented gusto about how his experiences have contributed to multiple sounds and forms in his work. Decrying any grandiose notions of theory, he presents himself as primarily a songwriter.

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.007
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0260.009

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 head0.043
GPT teacher head0.314
Teacher spread0.270 · 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
Published2008
Admission routes1
Has abstractyes

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Same topicSound Studies and AuralityFrench-language works237,207