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Record W1847923113 · doi:10.3968/7709

Management of Land for Industrial Buildings During the New Urbanization Process

2015· article· en· W1847923113 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.

venuePublished in a venue whose home country is Canada.
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

VenueCanadian social science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Environment
Canadian institutionsnot available
Fundersnot available
KeywordsPublicityIndustrialisationUrbanizationBusinessProcess (computing)Land managementLand developmentLand useEnvironmental planningNatural resource economicsEconomic growthEconomicsCivil engineeringMarket economyMarketingGeographyEngineeringComputer science

Abstract

fetched live from OpenAlex

he purpose of this study is to locate the problems of the management of the land for industrial buildings during the process of new-type urbanization and new-type industrialization, and to find out the reasons behind as well as to put forward countermeasures. The results show that problems such as non-standard land supplying for industrial buildings, change in the use of industrial land, illegal sales, and low efficiency of land use are prominent during the construction and development of industrial buildings. These problems are caused by a lack of legal constraints, lure of economic interests, land rent-seeking behaviors, unclear regulations for settle-in enterprises, poor supervision on land use, and weak awareness of law when managing and using land. Based on the results, effective countermeasures to improve the management of land for industrial buildings are suggested including perfecting the laws and regulations, clarifying the development direction of industry, establishing linkage office system, refining the supervision on the ways of using land and strengthening the publicity of legal use of land.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.830
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.043
GPT teacher head0.272
Teacher spread0.229 · 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