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Record W4392784073 · doi:10.62477/jkmp.v23i2.17

Huaihua International Inland Port Development and Its Impact on Local Residents’ Housing Demand

2024· article· en· W4392784073 on OpenAlexvenueno aff
Sidi Xiao, Tengteng Hou, Xiaohui Shu, Tian Guang

Bibliographic record

VenueJournal of Knowledge Management and Practice · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Zones and Regional Development
Canadian institutionsnot available
Fundersnot available
KeywordsPort (circuit theory)BusinessEnvironmental planningNatural resource economicsGeographyEconomicsEngineering

Abstract

fetched live from OpenAlex

Studies have shown that constructing international inland ports can create an impetus for the local community’s comprehensive economic and social development. It can also promote population concentration and accelerate urbanization in inland areas. Population inflow affects residents’ housing demand. An in-depth study should be conducted on the impact of the construction of Huaihua International Inland Port on the housing demand of the residents in the southwestern Hunan area. From the perspective of the development trajectory of Huaihua International Inland Port, it analyzes how the port affects the local economy, employment, government revenue, and urbanization progress. Combined with the analysis of residents’ housing status in Huaihua City of Hunan Province, China, it predicts their future housing demand in Huaihua City. The results show that residents’ housing demand will change in stages.

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)0.001
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 score0.039
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.041
GPT teacher head0.297
Teacher spread0.256 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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