The Lizzie Bennet Diaries: Fan-creator interactions and new online storytelling
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".