Other Vampires, Other Hollywoods: Serialized Citizenship and Narrowcast Difference
Bibliographic record
Abstract
This chapter explores an explosion of serialized vampires after television’s deregulation. Like newspapers and newscasts, serialized television can produce national audiences around topical issues about citizenship and difference. What cinema often excludes due to the financial risk, television can include by offshoring production and narrowcasting transmission. Although <italic>Buffy the Vampire Slayer</italic> (1997–2003) ushered in “girl power” and a place for same-sex relationships, it was criticized for its racial insensitivity. With greater racial/ethnic diversity, <italic>True Blood</italic>, <italic>The Vampire Diaries</italic>, and <italic>The Originals</italic> explore legacies of racial oppression. Transnational Hollywood largely masks locations, prioritizing economic over cultural consideration. Some series are produced in southern California, others elsewhere—<italic>Gabriel, amor inmortal</italic> (2008) in Florida, <italic>The Vampire Diaries</italic> and <italic>The Originals</italic> in Georgia, <italic>True Blood</italic> in Louisiana, <italic>From Dusk till Dawn: The Series</italic> (2014–present) in Texas, <italic>The Strain</italic> (2014–present) in Ontario, and <italic>Penny Dreadful</italic> (2014–2016) in Ireland. Web series emerge as a means of narrative and economic experimentation, ranging from UGC in <italic>The Hunted</italic> (2001–present) to cross-platform marketing and narrative experiments of <italic>Valemont</italic> (2009) and <italic>Carmilla</italic> (2014–present) to videogames.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".