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ARCHITECTURAL HERITAGE OF Ch.R. MACKINTOSH

2019· article· en· W3033225599 on OpenAlexaboutno aff
Е. N. Polyakov, T. V. Donchuk

Bibliographic record

VenueVestnik Tomskogo gosudarstvennogo arkhitekturno-stroitel nogo universiteta JOURNAL of Construction and Architecture · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Cultural Influences
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureStyle (visual arts)RomanticismCeltic languagesArt historyQueen (butterfly)Quarter (Canadian coin)TowerVisual artsHistoryArtArchaeology

Abstract

fetched live from OpenAlex

The article is devoted to the most famous architectural projects of residential, public and religious buildings of Charles Rennie Mackintosh (1868–1928). It is shown that he adhered to the traditions of neo-romanticism, preferred the traditions of Celtic symbolical art, the Scottish folk architecture and the so-called baronial style which make his buildings similar to medieval castles. It is noted that in design solutions and especially organization of internal space of buildings, the architect used the most advanced construction technologies, structures and materials. The article considers six of the most famous architectural projects by Macintosh made in neo-romanticism traditions. Among them, the Lighthouse Tower for the Glasgow Herald (1893–1894), the Glasgow School of Art (1897–1909), Queen's Cross Church in Glasgow (1898–1899), Scotland Street School (1903–1906), the project of the House for an Art lover in Darmstadt (1901), the Нill House in Helensburgh (1902–1904.). The main reasons for the creative crisis of the master on the eve of the I World War are revealed.

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0370.009

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 head0.176
Teacher spread0.170 · 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
Published2019
Admission routes1
Has abstractyes

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