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Record W2965913172

The downsizing Catholic Church: learning from Borromini’s counter-reformation architecture

2019· dissertation· en· W2965913172 on OpenAlexaboutno aff
Kayla Korb

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2019
Typedissertation
Languageen
FieldArts and Humanities
TopicHistorical Architecture and Urbanism
Canadian institutionsnot available
Fundersnot available
KeywordsProtestantismArchitectureBaroqueCounter-ReformationOf ReformationTheologyEngineeringChurch historyArtClassicsArt historySociologyVisual artsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines the work of Baroque architect
\nFrancesco Borromini toward an architectural response to
\nthe downsizing Catholic Church in North America. The
\ncentury following the Protestant Reformation offered
\nsimilar challenges to the Church. In response to the
\nReformation, numerous Counter-Reformation measures
\nwere employed to revive the Catholic Church. Architecture
\nthat conveyed Catholic theology was considered a valuable
\ntool in restoring the Church. Selected buildings designed
\nby architect Francesco Borromini are examined for
\ninsights into design techniques and strategies explored to
\nsynthesize Catholic theology and architecture. The Sant’Ivo
\nalla Sapienza and San Carlo alle Quattro Fontane churches
\nin Rome are studied using research-creation methods that
\nemploy architectural drawing as an investigative tool to
\ndiscover the theological significance of the buildings. The
\narchitectural design proposal explores conclusions drawn
\nfrom research and applies the research findings toward
\nthe design of small contemporary Catholic Church in
\nOrangeville, Ontario.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.181
Teacher spread0.169 · 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
Published2019
Admission routes1
Has abstractyes

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