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Record W2596972079

Развитие пространственного коридора Квебек – Уинсор в начале XXI в

2014· article· ru· W2596972079 on OpenAlexaboutno aff
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Bibliographic record

VenueСовременные проблемы науки и образования · 2014
Typearticle
Languageru
FieldEngineering
TopicTransportation Systems and Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsUrban agglomerationUrbanizationGeographyWindsorHuman settlementEconomic geographyRegional scienceEconomyEconomic growthArchaeologyEnvironmental scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

Currently, there is an intensification of the urbanization process in the world, which is manifested not only in increasing of the proportion of people living in cities, but also in expanding of the cities’ impact on all sides of social, political and economic life of the country. This article considers in detail the most urbanized part of Canada – Quebec City – Winsor corridor, its dynamics and the main binders – agglomerations. The author’s uniformity coefficient reflecting the qualitative differences of urban settlements of the area was used for the characterization of urbanization within the corridor. When analyzing the infrastructure component is taken into account: the main highways, air traffic and transport hubs. The result of this research is the selection of not only developed areas but also less urbanized within the dimensional corridor Quebec Windsor and their development at the beginning of the XXI century.

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)0.001
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: none
Teacher disagreement score0.997
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.004

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 head0.010
GPT teacher head0.194
Teacher spread0.185 · 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
Published2014
Admission routes1
Has abstractyes

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