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USING THE PRINCIPLES OF CYBERNETICS IN MANAGING THE LOGISTICS SYSTEM OF THE CITY'S HOUSING COMPLEX

2021· article· en· W4210630667 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

VenueScientific Review Theory and Practice · 2021
Typearticle
Languageen
FieldEngineering
TopicTransportation Systems and Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsLivelihoodPandemicSpace (punctuation)Quarter (Canadian coin)PopulationPedestrianCoronavirus disease 2019 (COVID-19)Public spaceBusinessEnvironmental planningEconomic growthGeographySociologyArchitectural engineeringEngineeringCivil engineeringComputer scienceEconomicsAgriculture

Abstract

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The COVID 19 pandemic, which has been ongoing for the second year, and its dynamics have a direct impact on the livelihoods of people in general and requires an update of the trends of mass housing construction in Russia that have developed in recent decades. The dynamics of housing construction in 2020 was characterized by a decrease in the commissioning of new housing, up to May, and an increase, starting from June. The trends of recent decades have focused on the high-density construction of residential buildings with predominantly small-sized apartments in the sector of mass residential development. And, as a result, there is a high concentration of the population in these areas. A distinctive feature of modern housing construction is the focus on closed modu- lar quarter complexes with individual courtyard areas, limited solely in the interests of residents. Modern trends in the planning of public spaces of the living environment are mostly focused on the massive one-to-one stay of people, which also leads to their high concentration in a limited space. The need for distance and self-isolation requires the opposite, i.e. a specific distance and “discharging” the localization of people in a certain space, which to a certain extent contradicts the current trends of residential complexes in the city. In addition, in connection with the restrictions on transport and pedestrian movement in a pandemic, the functional load on the local level increases. The pandemic itself leads to the formation of a tendency to localize people. To ensure the functioning of enterprises and the life of people, the number of people wor- king at home is increasing, local groups of daytime stay of children are being formed, the conditions of leisure and rest are being revised and reformatted, and remote technologies of social and service services are being developed. Thus, a revision and optimal, fundamentally new solutions are required not only in the field of organizing mass residential development based on the principles of spatial and functional freedom, but also in the mobility and transformability of both objects and residential areas. The normal functio- ning of residential areas requires a correspon- ding transformation of the logistics network and optimization of the operational flows of providing residential complexes and the city as a whole with everything necessary. In a pande- mic, solving these issues can be considered a task of ensuring the economic security of municipalities and the country as a whole.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.899
Threshold uncertainty score0.217

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
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 head0.129
GPT teacher head0.326
Teacher spread0.197 · 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