MétaCan
Menu
Back to cohort
Record W2160168372

The Growth of Urbanization and Environmental Instability: A Case Study in Ahvaz Metropolis

2014· article· en· W2160168372 on OpenAlexaboutno aff
Manoochehr Javanmardi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainable Development and Environmental Policy
Canadian institutionsnot available
Fundersnot available
KeywordsUrbanizationEnvironmental degradationPopulation growthEnvironmental pollutionPopulationNatural resourceGeographySustainabilityQuarter (Canadian coin)CivilizationUrban climateEconomic growthNatural resource economicsEnvironmental planningEnvironmental protectionEconomicsPolitical scienceEcologySociologyDemography
DOInot available

Abstract

fetched live from OpenAlex

Uncontrolled growth of urbanization has been exposed major quantitative and qualitative developments at the beginning of twenty-first century. Current world has been much urbanized and proportion of urban population to total population has been changing and increasing more than before and human modern civilization has been directing to urbanization and this urban growth has served natural resources in its service end. Finally, the result is damaging the ecological system and the unstable environment in cities. Accordingly, we are faced with the questions of how the capacity of cities against environmental problems is caused by urban development and the use of biological resources. These questions are as follows: what is the biological capacity in cities? Does the environment can reconstruct degradation and changing posed by the cities with this level and speed? How much is the amount of urban environmental sustainability to cope with these changes? The role of the city in environmental instability becomes more clear when we know that just about three- quarter of natural resources has been consumed one-fiftieth of the world and the rate of environmental pollution production in cities are three-fourth of the total pollution. Ahvaz metropolis has been chosen as a case of study of the related issue.

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 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)0.000
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 score0.031
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.006
GPT teacher head0.201
Teacher spread0.195 · 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 teacher head, 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicSustainable Development and Environmental PolicyFrench-language works237,207