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Record W2947075633 · doi:10.3968/10884

Property Rights Restrictions on the Construction of Parking Spaces With Buildings

2019· article· en· W2947075633 on OpenAlexvenueno aff
Xiaonan Zhang

Bibliographic record

VenueCanadian social science · 2019
Typearticle
Languageen
FieldEngineering
TopicSmart Parking Systems Research
Canadian institutionsnot available
Fundersnot available
KeywordsLegitimacyBusinessGovernment (linguistics)Economic shortageProperty rightsRationalitySpace (punctuation)Private propertyParking spaceProperty (philosophy)Transport engineeringEconomicsPoliticsLawComputer scienceMicroeconomicsMarket economyEngineeringPolitical science

Abstract

fetched live from OpenAlex

The construction of parking spaces is the main solution of parking spaces shortage in many cities. The government imposes requirements on the developers of land or housing and owners to ensure the availability of parking spaces. However, at the same time, parking space allocation has the possibility of restricting property rights. It is necessary to demonstrate the legitimacy of the government’s request for the construction of parking spaces for buildings through the control of private property by the government and the theoretical analysis of social obligations undertaken by private property rights, and to explain the rationality of the requirements of the construction of parking spaces with buildings through the realistic factors of management difficulties of large cities.

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)0.004
metaresearch head score (Gemma)0.014
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 score0.962
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.018
Scholarly communication0.0040.006
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.013
GPT teacher head0.221
Teacher spread0.208 · 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
Published2019
Admission routes1
Has abstractyes

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