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Record W2092462912 · doi:10.1177/1743872112446046

Mikhail Bakhtin and the Field of Law and Literature

2012· article· en· W2092462912 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLaw Culture and the Humanities · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicRussian Literature and Bakhtin Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsHeteroglossiaDialogicNarrativeIronyContext (archaeology)Field (mathematics)ChronotopeSociologyLiteratureEpistemologyHistoryPhilosophyArt

Abstract

fetched live from OpenAlex

This essay takes as its focus the work of Mikhail Bakhtin, a leading literary theorist who has, to date, received relatively little attention in the field of law and literature. Central themes in the work of Bakhtin include the dialogic quality of the novel and its ethical implications, its commitment to singularity and context, its comprehensive critique of authority and, tying all of these features together, the importance of form and style to our understanding of the experience of literature. These themes all pay attention less to the subject-matter or content of particular works of literature than to its historical trajectory, its distinctive characteristics, and its approach to language. This is perhaps one important way in which Bakhtin’s approach is distinct from the focus on ‘‘narrative’’ which is so much the staple of law and literature writing. The novel’s ‘‘heteroglossia,’’ as Bakhtin puts it – its irony, ambiguity, and ‘‘doubleness’’ – is neither a serendipitous features of certain texts nor a secondary element of normatively driven ‘‘story-telling,’’ but structural and stylistic characteristics of the novel as such. Bakhtin thus problematizes the treatment of narrative and the authenticity of voice assumed in much of the standard literature. While Bakhtin brings to these arguments an unprecedented sweep and command of detail, and a highly distinctive vocabulary for analysis, his arguments parallel the work of the other twentieth-century writers on literature. In particular, writing at the same critical historical moment, Bakhtin’s claims are echoed in D.H. Lawrence’s own essays on the novel, and illustrated – indeed, performed – in his fiction.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.955
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.269
Teacher spread0.255 · 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