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Record W2576533638 · doi:10.15405/epsbs.2017.01.30

The Urban Regeneration to Increase Well-Being of Older People: “Museum Quarter” Project in Tomsk

2017· article· en· W2576533638 on OpenAlexaboutno aff
Natalia A. Kolodii

Bibliographic record

Venue˜The œEuropean Proceedings of Social & Behavioural Sciences · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)AttractivenessUrban regenerationGovernment (linguistics)General partnershipBusinessInvestment (military)Process (computing)Post-industrial societyPublic relationsEnvironmental planningMarketingPolitical scienceComputer scienceGeographyFinancePsychologyPolitics

Abstract

fetched live from OpenAlex

The timeliness of this research is necessity to develop ways of the urban environment designing, based on the interaction of the city with its citizens. According to researches, it is not possible to create a comfortable and proportionate to the citizens' needs city environment, using only the efforts of professionals - designers and government structures. Appropriate research and qualified satisfaction of citizens' needs are key factors for creation of such environment. Particularly this process is able to prevent absence of changes demand for ordinary citizens, as well as to ensure the investment attractiveness of projects aimed at the development of the territory. An effective mechanism for the implementation of an integrated urban policy concept can be public-private partnership. The paper considers the postindustrial paths in the process of regeneration of the city and investigates the possibilities of the project “Museum Quarter” to be the driver of the territory development and the factor of emotional well-being of older people in the city.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.305
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.036
GPT teacher head0.304
Teacher spread0.268 · 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
Published2017
Admission routes1
Has abstractyes

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Same venue˜The œEuropean Proceedings of Social & Behavioural SciencesSame topicCultural Industries and Urban DevelopmentFrench-language works237,207