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Record W1993976490 · doi:10.1163/15685292-01803001

“On Wooden Churches”: William Scott and the Colonial Church

2014· article· en· W1993976490 on OpenAlexaff
Emily Turner

Bibliographic record

VenueReligion and the Arts · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Architecture and Urbanism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsColonialismArt historyHistoryArtLawClassicsSociologyArchaeologyPolitical science

Abstract

fetched live from OpenAlex

The use of wood in Gothic Revival buildings was a contentious issue in the middle of the nineteenth century. Because of the need in the British colonies to use timber in church construction due to financial and material restraints, a re-examination of wood as a building medium consistent with the principles of the Revival became necessary. For the Cambridge Camden Society, the breakthrough in understanding timber as a truly ecclesiological material came in an essay by Rev. William Scott entitled “On Wooden Churches” (1848), which traced the historical and symbolic features of wood in ecclesiastical design. This article examines the rationale that Scott put forward to validate the use of the medium in colonial settings, focusing on his theological and historical arguments as well as his scheme for practical application of theoretical constructs. This study will also demonstrate the way in which Scott’s advice was applied in the colonial setting in the case study of Frederick Thatcher’s Old St. Paul’s, Wellington in New Zealand.

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)0.003
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: none
Teacher disagreement score0.138
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.025
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.199
Teacher spread0.189 · 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

Citations3
Published2014
Admission routes1
Has abstractyes

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