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Record W1969462193 · doi:10.3138/md.44.2.232

<i>Nosferatu: </i>A Play on the Vampire by Francisco Nieva

2001· article· en· W1969462193 on OpenAlexvenueno aff
Robert Lima

Bibliographic record

VenueModern Drama · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicLiterary Analysis and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVampireTheme (computing)Interpretation (philosophy)Subject (documents)HistoryLiteratureOrder (exchange)ArtPhilosophyLinguisticsLibrary science

Abstract

fetched live from OpenAlex

Until 1961, when Francisco Nieva wrote his play Aquelarre ynoche roja de Nosferatu ("Witches' Sabbat and Red Night of Nosferatu"), the theme of the vampire had not been treated in serious Spanish or Spanish American literature. With the play's belated publication in 1991 and production in 1993, the Spanish-speaking public was given an opportunity to experience, through the interpretation of one of its dramatists, a dark subject that had long fascinated many readers and filmgoers, Spaniards included. In order to achieve his end of informing and interpreting, Nieva steeped himself in the lore of the vampire, derived from sources which, by necessity, were external to Spain. That material, extensive and multifaceted though it is, affected Nieva's conception of the vampire in an unexpected manner, for he found therein an opening to a new view; his is substantially a heterodox stance, a departure from the canonicity established by the first assessors of the tradition.

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)0.001
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.004
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.209
Teacher spread0.186 · 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
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

Citations0
Published2001
Admission routes1
Has abstractyes

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