MétaCan
Menu
Back to cohort

Issues of Climate Change and Water Resources in Peninsular Malaysia: The Case of North Kedah

2009· article· en· W2585481423 on OpenAlex
Mohd Ekhwan Toriman, Joy Jacqueline Pereira, Muhammad Barzani Gasim, Sharifah Mastura, Nor Azlina Abdul Aziz

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

VenueArab world geographer · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWater supplyWater resourcesContext (archaeology)BusinessClimate changeNatural resource economicsWater resource managementSupply and demandAgricultureWater conservationResource (disambiguation)Environmental scienceEnvironmental planningEnvironmental resource managementGeographyEconomicsEnvironmental engineeringEcology

Abstract

fetched live from OpenAlex

The increasing human demand for water makes “urban water” an issue: water resources and services, including public water supply, availability of water resources, and future water projections. The northern region of Malaysia's Kedah State has suffered from an extremely serious water deficiency for decades. Aside from the physical dimension of climate change, unlimited industrial enlargement, extensive agricultural irrigation, and the continuing improvement of living standards constitute the main factors in the human dimension that influence the changing balance between water supply and demand. This research note focuses on research carried out in the Kubang Pasu and Padang Terap regions with the aim of obtaining clear information on the availability of potential water resources. Current water resource conditions and future water-supply projections are discussed in the context of water supply and demand characteristics. The resulting demand/supply schemes may be useful in forecasting water demand in the are...

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)0.000
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 score0.043
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.216
Teacher spread0.205 · 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