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Heteroglossia

2021· reference-entry· en· W4240472569 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

VenueOxford Research Encyclopedia of Literature · 2021
Typereference-entry
Languageen
FieldSocial Sciences
TopicRussian Literature and Bakhtin Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsHeteroglossiaSociolinguisticsIdeologyLinguisticsSociologyIndexicalitySubalternVariation (astronomy)DialectologyHistoryEpistemologyPhilosophyLawPoliticsPolitical science

Abstract

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Abstract The concept of “heteroglossia” was coined by Mikhail Bakhtin in an essay from the 1930s. Heteroglossia was the name he gave for the “inner stratification of a single national language into social dialects, group mannerisms, professional jargons, generic languages, the languages of generations and age-groups,” and so on, but it was not simply another term for the linguistic variation studied in sociolinguistics and dialectology. It differed in three respects. First, in heteroglossia differences of linguistic form coincided with differences in social significance and ideology: heteroglossia was stratification into “socio-ideological languages,” which were “specific points of view on the world, forms for its verbal interpretation.” Second, heteroglossia embodied the force of what Bakhtin called “historical becoming.” In embodying a point of view or “social horizon,” language acquired an orientation to the future, an unsettled historical intentionality, it otherwise lacked. Third, heteroglossia was a subaltern practice, concentrated in a number of cultural forms, all of which took a parodic, ironizing stance in relation to the official literary language that dominated them. Throughout his discussion, however, Bakhtin wavers between claiming this heteroglossia exists as such in the social world, from which the novel picks it up, and arguing that heteroglossia is something created and institutionalized by novels, which take the raw material of variation and rework it into “images of a language.” Interestingly, from roughly 2000 on work in sociolinguistics has suggested that ordinary speakers do the kind of stylizing and imaging work Bakhtin assigned to the novel alone. One could argue, however, that heteroglossia only acquires its full significance and force when it is freed from any social function and allowed to flourish in novels. According to Bakhtin, that means that heteroglossia is only possible in modernity, because it is in modernity that society becomes truly historical, and languages only acquire their orientation to the future in those circumstances.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.365
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.390
Teacher spread0.339 · 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