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Architecture of the future in the eastern europe: reality and illusions

2020· article· en· W3108370892 on OpenAlexaboutno aff
V. Proskuryakov, Yuliia Bohdanova

Bibliographic record

VenueŚrodowisko Mieszkaniowe · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureHistory of architectureHistoryArt historyEngineeringArchaeology

Abstract

fetched live from OpenAlex

This paper presents the outcomes of two international conferences: ‘On the way to architectural education and the profession of the future’ and ‘Genesis and development directions of the future architecture in the Eastern Europe’, which took place on 28 November 2018 and 28 November 2019, respectively, at the Lviv Polytechnic National University. During the conference, educationalists, researchers, experts from architectural and artistic schools of Ukraine from Lviv, Kyiv, Odessa, Chernivtsi, Dnipro, Lutsk; Poland - from the city of Kielce; Germany - from Dresden University of Technology; Canada - from the city of Toronto, discussed what had to be done and done unquestionably so that we could not only dream about an architecture of the future but also actively create it. Not asking a formal request of the speakers to present what came out of the predictions of the architects / futurists of the twentieth century directed, according to their understanding, into close (the 1970s and 80s), non-distant (the 1990s) and distant future (the turn of the twenty-first century). Instead, they wanted to plant into the architectural reality of modern Eastern Europe, and Ukraine, Poland, Germany in particular, those sprouts of the new in architecture which are associated with ‘the architecture of the future’ and that are currently being born and their blooming can be expected in the Eastern Europe and the world in the future.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.025
GPT teacher head0.244
Teacher spread0.219 · 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.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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