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Record W4385561813 · doi:10.30684/etj.31.2b.15

Population Growth and its Effect on Temperature Increase for Some Meteorological Stations in Iraq

2013· article· en· W4385561813 on OpenAlexaboutno aff
Ahmed Ftah hasoon, Emad K.Rashed, Arkan Abdulla muzan

Bibliographic record

VenueEngineering and Technology Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyPopulationEnvironmental scienceMaximum temperatureQuarter (Canadian coin)Population growthClimatologyDemographyArchaeologyGeology

Abstract

fetched live from OpenAlex

This research focuses on the effect of population increases ( in Baghdad , Nineveh, Basrah ) on ( maximum , minimum , and annual temperature averages ) this concerns the period from 1977- 2010 . Meterological Stations in these Provinces ( Baghdad airport , Mosul city , Basrah – Hussein Quarter ) have recorded an increase in urban warming – they reached 00.3C ، 0.5C0 ، 0.6C0 according to maximam temperature and 0.1C0 ،0C0 ،0.3C0 according to average annual temperature, associated with an increase in population. 4594161 , 1894940 , 1029869 . the location of Baghdad station as far from the city centre led to a less urban ratios in warming in comparison to other stations mentioned . on other hand geographic location of Mosul station ( higher than the see level ) led to a less ratios of warming compared to Basrah station , despite of the high – populated city of Nineveh .

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 score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.264
Teacher spread0.244 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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