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The Evolution of Façades and Interior Layouts of Narrow-Front Townhouses

2018· article· en· W2811313561 on OpenAlexaff
Avi Friedman

Bibliographic record

VenueVITRUVIO - International Journal of Architectural Technology and Sustainability · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Architecture and Urbanism
Canadian institutionsMcGill University
Fundersnot available
KeywordsNobilityContext (archaeology)The RenaissanceStyle (visual arts)Front (military)Architectural engineeringPoliticsArchitectural styleArchitectureHistoryEconomic geographyEngineeringArt historyArchaeologyPolitical scienceGeographyMechanical engineeringLaw

Abstract

fetched live from OpenAlex

What made the narrow townhouse, narrower than 20 ft (6 m), a suitable structure for public markets in medieval times, a dwelling for the nobility in the Renaissance, and a type of affordable housing in the modern era? Massey & Maxwell regard the townhouse as a type of building, rather than a building style. This observation lay the foundation that explains how the townhouse adapted to fit particular time periods and geographical locations, and their respective aesthetics values. While the building has remained structurally identical, it has undergone manipulations of interior room layout and exterior expression. Despite the differences in style, material, ornamentation, and detail over their history, townhouses all share one common property: the continuous façade of several joint units. By examining variations of narrow-front townhouses this paper establishes what factors or elements were responsible for its evolution. The author concludes that the design survived changes in economic conditions and social values, and political upheaval due to the inherent adaptability of its basic form, remaining part of the architectural context in every era.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · 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
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.006
GPT teacher head0.231
Teacher spread0.225 · 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 designObservational
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
Published2018
Admission routes1
Has abstractyes

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