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Record W7135547085

Early works of Martin Rajniš 1968 - 1986 in the context of the Liberec Association of Engineers and Architects (SIAL)

2022· dissertation· cs· W7135547085 on OpenAlexaboutno aff
Tereza Staňková

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2022
Typedissertation
Languagecs
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsStudioContext (archaeology)BachelorExhibitionWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

The bachelor thesis focuses on the early works of Martin Rajniš, closely connected with his work in the SIAL Kindergarten. The first chapter is devoted to the establishment and the education at the SIAL Kindergarten within the Liberec Association of Engineers and Architects, as well as the leading representatives of both groups. The second chapter of the thesis presents the work of M. Rajniš during his postgraduate years in the SIAL Kindergarten at the turn of the sixties and seventies. The third chapter is devoted to Rajniš's cooperation with the Liberec Stavoprojekt. His first big project is the design of the Prior 02 Shopping Centre, later called Máj Department Store. It is located at Národní třída in Prague. M. Rajniš collaborated on this project with John Eisler and Miroslav Masák, the founders of the Liberec Association of Engineers and Architects. Rajniš's collaboration with the architect Michal Brix, who himself went through the SIAL Kindergarten, is also crucial for this time. The fourth chapter is connected with the year of 1986, when M. Rajniš, in collaboration with M. Brix and Studio Shape, managed to design the exhibition Expo 86 in Montreal, Canada. Expo 86 had a major impact on the founding of Rajniš's first DA Studio in the same year. The aim of the work is to find the contexts...

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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 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
Published2022
Admission routes1
Has abstractyes

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