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Parody and Pastiche

2020· reference-entry· en· W3044480601 on OpenAlexaff
Leonard Diepeveen

Bibliographic record

VenueOxford Research Encyclopedia of Literature · 2020
Typereference-entry
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsDalhousie University
Fundersnot available
KeywordsNorm (philosophy)CitationArgument (complex analysis)ComicsAestheticsValue (mathematics)LiteratureEpistemologySociologyPhilosophyArtMathematicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract Parody is the name given to a range of representational practices that involve citation of an earlier work, but an inexact citation—citation with polemical difference, always purposive, and often to comic effect. Arguments over parody as a category inevitably establish a position on how specific an activity it is and how far it reaches into culture, even into the nature of language itself. Parody’s range is at times understood to be quite general; at others, it is presented as a very specific artistic process. Thus, some argue that parody is at the heart of language itself, that all language is parodic, while others limit parody to the affectionate discrepant citation of another text or work of art. Pastiche, as a subcategory of parody, generally is considered to be less polemical about its sources, less satirical, more flat, and less focused. All parody (including pastiche) is interpretive of its source, and in interpreting that source it makes an argument about that source—its features and the value of those features. In making that argument, parody establishes or reacts to a norm, a norm at times in line with a cultural dominant and at other times opposed to it. While that relationship to a norm often raises the question whether parody is inherently dispersive and liberatory or whether it exists to affirm a status quo, historical practice reveals that there is no inherence here; parody can move in either direction. Parody is always in some relation to a norm, a relationship that points to the heart of its activities: to the consequences of citation, the place of personal expression, and polemics.

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)0.006
metaresearch head score (Gemma)0.017
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: Other
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0100.034
Scholarly communication0.0120.011
Open science0.0020.009
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0140.003

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 head0.064
GPT teacher head0.326
Teacher spread0.262 · 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".

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Citations4
Published2020
Admission routes1
Has abstractyes

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