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Record W7033705375

ResPublica/Civitas Socialis - Strachotín

2017· dissertation· cs· W7033705375 on OpenAlexaboutno aff

Bibliographic record

VenueBrno University of Technology Digital Library (Brno University of Technology) · 2017
Typedissertation
Languagecs
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Character (mathematics)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

The theme of the diploma thesis is based on conclusions of the pre-diploma thesis which tried to find lost potential of the village Strachotín and outline its possible development. Strachotín is located in a major wine region. Therefore, the potential of the municipality is mainly in wine, tradition and tourism. The stragedy builds on these potentials and creates two main themes. I live, I discover. The living factor represents inhabitants of Strachotín and the possibility of housing, work and recreation. The discovering factor represents traditions and tourism. The key theme becomes a village square. This is primarily a place for local residents, but also a place for the municipality to represent and support tourism. The village square is the most important part of the village, but the current state of affairs is not the case. Village square lost its identity thanks to inappropriate placement of objects and their functional use. The design tries to clean the village square from objects that are not functionally and aesthetically suitable. Objects that remain in the proposal are a municipal house and former school. They have a historical position here. The proposal adds a new object that combines and complements functions that have been missing or lost in the village in the original solution. The newly created public space creates not only a place for the inhabitants of Strachotín, but also a new tourist destination.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0020.004
Scholarly communication0.0000.004
Open science0.0050.002
Research integrity0.0020.002
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 head0.007
GPT teacher head0.186
Teacher spread0.179 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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