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Record W6996116512

REDEVELOPMENT OF DEGRADING INDUSTRIAL TERRITORIES IN THE CONTEXT OF HISTORICAL BUILDING

2022· article· en· W6996116512 on OpenAlexaboutno aff

Bibliographic record

VenueThe Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSustainable Urban and Rural Development
Canadian institutionsnot available
Fundersnot available
KeywordsRedevelopmentContext (archaeology)Principal (computer security)Adaptation (eye)Quarter (Canadian coin)Urban regeneration
DOInot available

Abstract

fetched live from OpenAlex

The research provides definitions of the term "redevelopment". In the analysis, the major classification of redevelopment has been considered and determined. The principal compositional methods of redevelopment and adaptation of former industrial areas with historic buildings to the modern needs of the city and its inhabitants are highlighted. The paper intends to point out the necessity of the introduction of the redevelopment of abandoned industrial historical territories as a successful way of their adaptation to modern needs. Worldwide and Ukrainian examples of redevelopment are analyzed. One of the aims of this article is to show successful examples of large-scale redevelopment and revitalization with adaptation to the new functions of the old industrial zone, using the example of Tallinn's Rothermanni Quarter and the re-functionalized renovation of the Comfort Town residential complex in Kyiv.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.013
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.116
GPT teacher head0.337
Teacher spread0.221 · 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
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

Explore more

Same venueThe Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogySame topicSustainable Urban and Rural DevelopmentFrench-language works237,207