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The Transformation of the Canon, the Struggle With the Canon, the Re-creation of the Canon as the Basis of Fanfiction Culture

2022· article· en· W4313656271 on OpenAlexfundno aff
Ksenia Romanenko

Bibliographic record

VenuePhilosophy Journal of the Higher School of Economics · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
FundersYork UniversityChildren's Literature AssociationGeorgetown UniversityUniversity of Chicago
KeywordsCanonPopular cultureCriticismLiteratureWorshipArgument (complex analysis)Literary criticismSociologyArtAestheticsPhilosophyTheology

Abstract

fetched live from OpenAlex

To understand the transformation of canons and the struggle with them, we may productively explore fanfiction, a particular reader's, viewer's, and author's practice, within non-professional and non-commercial texts based on the plots and heroes of other people's works. Fanfiction is a paradoxical phenomenon: it is wholly based on a specific canon — collectively selected film and literary texts, moves by worship, emotional attachment, and attention, while initially working as a criticism of the canons and changing the canons. Canon is not only a research concept but also an intra-cultural designation of the original work as the basis of a fan text. Fans also create their canon — “fanon”, a set of characteristic plot solutions and ways to change characters established in fanfiction. The article examines the intersections of the cultural canon of high and popular culture, the national literary canon, and the canon and the fanon in the understanding of fans with different types of attitudes to the canons — disintegration, transformation, struggle, re-creation. The argument is based on a critical analysis of the research literature with a focus on metaphors that help authors describe the relationship of fiction writers with the canons and on the experience of empirical research about fanfiction devoted to samples of popular culture (“Harry Potter” franchise, “Doctor Who” series, “Sherlock” series, and others), fanfiction and sequels to novels by Jane Austen, the British writer of the 19th century, and fanfiction devoted to Russian classical literature.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.233
Teacher spread0.218 · 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 teacher head, 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

Citations2
Published2022
Admission routes1
Has abstractyes

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Same venuePhilosophy Journal of the Higher School of EconomicsSame topicDigital Games and MediaFrench-language works237,207