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Record W2152263483 · doi:10.3846/mla.2010.027

ANALYSIS OF TERRITORY PLANNING REGULATIONS CONCERNING MODERNIZATION OF RESIDENTIAL AREAS

2010· article· en· W2152263483 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMokslas - Lietuvos ateitis · 2010
Typearticle
Languageen
FieldEngineering
Topic3D Modeling in Geospatial Applications
Canadian institutionsnot available
Fundersnot available
KeywordsModernization theoryResidential areaEnvironmental planningNormativeQuarter (Canadian coin)Depreciation (economics)GeographyBusinessCivil engineeringEconomic growthEngineeringPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Territory planning instructions of residential areas (quarters) are analyzed in this article. In Lithuania there is no validated united normative database for territory planning, which could regulate renovation of residential quarters. Accordingly, it is an actual problem. Modernization of blocks of flats is widely analyzed and it causes a lot of discussions recently. Modernization could be fulfilled more efficiently in quarters or even residential areas. Consequently, territorial spatial planning of areas (quarters) is very important. This article covers analysis of terms of a residential area and a quarter, building intensity and building density, functional zones, regulations of territory management and use, greenery, social infrastructure. Also a quality of life, depreciation of buildings and a priority of renovation of residential areas is examined.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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