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Record W7044057347

Viladům Masarykova quarter - Brno

2019· dissertation· cs· W7044057347 on OpenAlexaboutno aff

Bibliographic record

VenueBrno University of Technology Digital Library (Brno University of Technology) · 2019
Typedissertation
Languagecs
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PopulationContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

The topic of the bachelor thesis is the new building of the villa in Masaryk district in Brno. The study is based on the previous subject AG032. The aim of the thesis is the elaboration of the design study up to the project documentation for the execution of the construction. The villa is located on the corner of Helcelet and Roubalov streets. The building site is smaller, hillside and it has irregular shape. The building site is used for housing. On the building site there is an older family house that will be demolished. The surrounding built-up area is characterized by family houses and apartment buildings. The villa has four above-ground floors and one underground floor with a collective garage and appropriate home furnishings. There will be one magnanimous apartment on each floor. The material is distinctive in a simple form. It is geometrically defined as a cuboid. The height of the object respects the height line of the surrounding built-up area. The overall appearance of the building completes the carved loggia, connecting the two sides of the house. The design of the villa is adapter to the hillside sloping terrain. The land is used in the building so that the lowest point of the building site serves as an entry into the underground garage. And the highest place of the building site serves as a barrier-free entrance to the building.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.162
Threshold uncertainty score0.543

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1620.083

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 head0.176
Teacher spread0.171 · 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
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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