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Record W6966512382 · doi:10.48336/8cmy-ss77

The Haunted House is home to horror: an exploratory study of the Haunted House manifest in North American film from 1940–2020

2022· article· en· W6966512382 on OpenAlexaff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsNarrativeReification (Marxism)EthnographyExistentialismExploratory research

Abstract

fetched live from OpenAlex

Hockey (1999) introduces the House of Doom; Bailey (1999) builds the Haunted House formula from American popular fiction; Meehan (2020) tracks the Haunted House on film and through history; and now, I explore how the Haunted House narrative belies societal concerns about the existential nature of humanity. When COVID-19 forced our global society into at-home isolation, inhabitants were forced to reckon with the effects of prolonged domestic survival, much like the inhabitants of haunted houses. This exploratory ethnographic content analysis of 40 films contributes a trio of phenomenological findings to existing Haunted House scholarship: 1) threats to the safety of one’s home can turn the house into a dangerous trap, 2) as a reification of biophobia, the North American Haunted House is more closely aligned with nature than with civilization, 3) the Haunted Heroines of the horror genre showcase the strength and adaptability of the feminine trope. Oppressors mobilize structural restraints—literally and systemically—to objectify the Female Gothic as a Gothic Corpse, all while personifying inanimate structures. The Haunted House manifests in the North American cultural imagination as a monstrous embodiment of biophobia, a fear of nature and the Self. What happens when you open the door to supernatural metaphors for fears about domestic life and the nature of humanity?

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.009
Science and technology studies0.0060.001
Scholarly communication0.0000.001
Open science0.0040.002
Research integrity0.0000.001
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 head0.026
GPT teacher head0.270
Teacher spread0.244 · 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.

Study designQualitative
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
Published2022
Admission routes1
Has abstractyes

Explore more

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