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Record W4380205022 · doi:10.1515/9780773549906

Ghost Storeys

2017· book· it· W4380205022 on OpenAlexaboutno aff
Cameron Macdonell

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2017
Typebook
Languageit
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Most studies of modern Gothic media assume that, beyond the 1830s, modern Gothic architecture and literature had very little in common. The work of Ralph Adams Cram (1863–1942), America’s most prolific Gothic Revival architect and an author of ghost stories, challenges that assumption. The first interdisciplinary study of Cram’s aesthetics, Cameron Macdonell’s Ghost Storeys deconstructs the boundaries of Gothic architecture and literature through a microhistory of St Mary’s Anglican Church in Walkerville, Ontario. Focusing on Cram and the church’s main patron, Edward Walker (1851–1915), Macdonell explores the intricate intersections of Gothic aesthetics, architectural ethics, literature, theology, cultural values, and community construction in an Edwardian-era company town. When Walker commissioned the church, he believed that its economy of salvation could save him from the syphilis that afflicted his body and stained his soul. However, while implementing that economy, Cram, whose architectural theory, social commentary, and ghost stories were pessimistic about reviving the Gothic in the modern world, also created an architecture haunted by the sickness of humanity. Painstakingly researched and lavishly illustrated, Ghost Storeys redefines the allegorical relationship between a marginalized church and the Gothic Revival movement as a global interdisciplinary phenomenon.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.908
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0050.002
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0020.002
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 head0.018
GPT teacher head0.240
Teacher spread0.223 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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