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Record W808327798 · doi:10.1386/ajpc.4.2-3.99_1

The Lizzie Bennet Diaries: Fan-creator interactions and new online storytelling

2015· article· en· W808327798 on OpenAlexaff
Jessica Seymour, Jenny Roth, Monica Flegel

Bibliographic record

VenueAustralasian Journal of Popular Culture · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsLakehead University
Fundersnot available
KeywordsNarrativePrideCharacter (mathematics)NegotiationParticipatory cultureStorytellingPower (physics)Media studiesSpace (punctuation)The InternetCitizen journalismSociologyFandomAestheticsHistoryArtLiteraturePolitical scienceComputer scienceLawWorld Wide WebSocial science

Abstract

fetched live from OpenAlex

Abstract Bernie Su and Hank Green’s online adaptation of Jane Austen’s Pride and Prejudice ([1813] 1995), the Lizzie Bennett Diaries (2012, LBD hereafter), offers a new authorship device and a potential way to negotiate the current tensions engendered by struggles over cultural production and reproduction on the Internet. A great part of LBD’s success, confirmed by the many awards the series received, was its complication of authorial power and textual ownership. Fans occupied the same space as characters to become characters themselves; producers became viewers who carefully followed fan responses and incorporated them into the storyline; fans’ blogs and texts developed character arcs, deepened understanding of characters themselves and moved the narrative as a whole; and producers entered fan spaces to discuss narrative developments. However, while LBD does offer some possibilities going forward, it also illuminates the tensions between existing and emergent production paradigms created by an increase in Internet participatory culture that remain to be overcome.

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)0.000
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 score0.626
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.074
GPT teacher head0.283
Teacher spread0.209 · 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

Citations4
Published2015
Admission routes1
Has abstractyes

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