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Record W2327636282 · doi:10.1386/host.4.2.173_1

Ghostwatch and the haunting of media

2013· article· en· W2327636282 on OpenAlexaff
Murray Leeder

Bibliographic record

VenueHorror Studies · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsCarleton University
Fundersnot available
KeywordsLivenessMedia studiesSpiritualismSociologyHistoryAestheticsArtComputer scienceMedicine

Abstract

fetched live from OpenAlex

Abstract Ghostwatch was an infamous mockumentary broadcast by BBC1 on 31 October 1992, documenting the ‘live’ investigation of a London haunted house. Its careful recreations of the conventions of live television were such that it successfully fooled many of its spectators into believing that BBC personalities, playing themselves, were in danger, and Britain was undergoing a massive haunting facilitated by television itself. A suicide was attributed to the programme, as well as several cases of post-traumatic stress disorder in children. This article links Ghostwatch with the supernatural implications that media of transmission are often understood as having, at least since the early linkages between spiritualism and telegraphy. It also explores how the programme exploits the conventions of liveness as a dark parody of the ways children are taught to understand television: as a semi-permeable barrier that looks even as it is looked at. Finally, it considers the implications of the BBC becoming perverted into a national haunting force in terms of its putative role as a nation-building public service broadcaster.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.019
Scholarly communication0.0060.003
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.067
GPT teacher head0.260
Teacher spread0.193 · 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

Citations12
Published2013
Admission routes1
Has abstractyes

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