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Record W2344254563 · doi:10.1515/ceer-2015-0025

Quarter Modernization of Construction Residential "New Praga" in Warsaw - Risks and Possibilities/ Modernizacja Kwartału Zabudowy Mieszkaniowej „Nowej Pragi” W Warszawie, Zagrożenia I Możliwości

2015· article· en· W2344254563 on OpenAlexaboutno aff
Anna Majewska, Małgorzata Denis

Bibliographic record

VenueCivil And Environmental Engineering Reports · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Development and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Modernization theoryUnemploymentPopulationGeographyBusinessSocioeconomicsEconomic growthEconomicsDemographySociologyArchaeology

Abstract

fetched live from OpenAlex

The district “New Praga” is located on the right-bank of Warsaw in North Praga which is one of the oldest districts of the city. The citizens of this district, where an analyzed building quarter is located, are people with a lower social status than the rest of Warsaw’s population, who benefit from the social assistance (30%); moreover, there are a large number of crimes and high unemployment among young people in this area. These data show how difficult is to modernize this area because the improvement of a construction tissue is not enough to fully help the local community. Financial resources are needed to increase the level of education that allows finding new jobs and improves the quality of life. Afterwards, the modernization of tenements should be taken care for.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.019
GPT teacher head0.218
Teacher spread0.200 · 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 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

Citations1
Published2015
Admission routes1
Has abstractyes

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