MétaCan
Menu
Back to cohort
Record W4390515575 · doi:10.1177/09715231231205745

Geopolitical Issues and Trajectories of Water Security in South Asia

2023· article· en· W4390515575 on OpenAlexaff
Hiruni Nathasha Fernando

Bibliographic record

VenueSouth Asian Survey · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsGeopoliticsWater securityChinaInternal securityPolitical scienceSouth asiaIndian subcontinentWater resourcesCorporate governanceDevelopment economicsGeographySociologyBusinessLawPoliticsEconomics

Abstract

fetched live from OpenAlex

In the current academic debate on non-traditional security, the issue of water security has come to the forefront of discussions. This is primarily due to the developing discourse on climate change as a threat multiplier linked with conflicts surrounding access, use, and the management of shared water resources. The Indian subcontinent is therefore an interesting case study where water security and inter-connected security issues have converged as both internal and external security threats. Using the case study of the Indian Subcontinent, this essay serves to enrich the debate on geopolitical challenges and the paths toward achieving water security. The essay provides a general review of the security environment, including the risks and vulnerabilities facing the Indian subcontinent and challenges to water governance arising from both internal and external security concerns, through examples of geopolitical tensions in the region. This includes India, Pakistan, Bangladesh, Afghanistan, Nepal, China, and Tibet (the latter which forms the Hindu Kush Himalaya region). The research leads to the conclusion that institutional structures may be able to reduce regional tensions.

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)0.002
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 score0.298
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.031
GPT teacher head0.299
Teacher spread0.268 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueSouth Asian SurveySame topicTransboundary Water Resource ManagementFrench-language works237,207