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Record W4406879477

The Review as Bakhtinian Rejoinder: Edward W. Said as Music Reviewer

2015· article· en· W4406879477 on OpenAlexaff
Linda Hutcheon

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The article reads the work of the postcolonial theorist Edward Said through a Bakhtinian lens. Although Said and Bakhtin engaged differently with the politics of their time and had different ideas on the relationship between ethics and politics, their wide-ranging writings have been adapted and their ideas appropriated by scholars in many different fields-often the same ones. They shared a passion for dialogue, for exploring otherness and outsidedness, and for believing in response-ability. What the novel was to Bakhtin, pianism was to Said, the music reviewer. Said never played the role of consumer guide or gate-keeper. He was more the peer reviewer or the grade-assigning professor. The multiple possible responses of the audience always conditioned his own. Said thought like Bakhtin all his musical life, perhaps without knowing it. Said's music reviews are, by definition, responses or rejoinders. They are hybrid, double-voiced narrations and transmissions, but also appropriations, as was the novel, in Bakhtin's eyes. Said's writings on music are analyzed in light of several key Bakhtinian concepts: dialogism, addressivity, response-ability, and the role of context.

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)0.005
metaresearch head score (Gemma)0.043
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: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.043
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.004

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 head0.380
GPT teacher head0.538
Teacher spread0.158 · 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
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
Published2015
Admission routes1
Has abstractyes

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