MétaCan
Menu
Back to cohort
Record W4324336908 · doi:10.18280/ijsdp.180216

The Impact of Regional Level Land Use on the Urban Functional Changes

2023· article· en· W4324336908 on OpenAlex
Naseer Abdul Razak Hasach Albasri, Mahmood Hussein Mustafa, Makkiyah Shakir Aliasghar

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

VenueInternational Journal of Sustainable Development and Planning · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicKorean Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLand useEnvironmental scienceGeographyEnvironmental planningCivil engineeringEngineering

Abstract

fetched live from OpenAlex

Urban land uses are spatial dynamic phenomena, changing according to time change because of economic and social factors influence.Urban functions are affected by several factors at urban and regional levels.The purpose of this study is to answer what the functional changes in An Najaf from 2015 to 2020, What factors affect the increase of functional changes, and how the regional land use of An Najaf International Airport site and the University of Kufa campus site affect the changes mentioned above.The Research used a Geographic Weighted Regression (GWR) within (GIS) to find the relation between spatial variables, the causes and the size of functional changes, functional changes are displayed on a map to help the planner make decisions.The results showed that the study area witnessed great economic, social, and urban changes that affected the development of land uses as well as a change of urban functions.The using of (WGR), there is an impact between the factors related to the regional level with the total functional changes as a result of local R² (86%) of residential functions have changed to commercial, (79%) from residential to industrial, and (45%) from residential to other uses during 2015-2020.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.256

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.074
GPT teacher head0.277
Teacher spread0.202 · 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