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Record W2993369861 · doi:10.20377/cgn-80

Transboundary Water Governance in the Kabul River Basin: Implementing Environmental and Public Diplomacy Between Pakistan and Afghanistan

2019· article· en· W2993369861 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueComplexity Governance & Networks · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsDawson CollegeAga Khan Foundation
Fundersnot available
KeywordsDiplomacyPolitical scienceRiparian zoneCorporate governanceCivil societyEnvironmental governanceEnvironmental planningPublic participationStewardship (theology)GeographyEnvironmental protectionPublic administrationBusinessEcology

Abstract

fetched live from OpenAlex

This research highlights the outcomes of the environmental diplomacy workshop held between members of civil society from Afghanistan and Pakistan on water cooperation in the Kabul River Basin, one of the most heavily conflicted transboundary river basins in the world. Lack of trust among these upstream and downstream riparian partners and persistent failures of Track 1 diplomacy initiatives has led to an absence of governance mechanisms for mitigating the water security concerns in the region. This research shows that science and public diplomacy, democratic participation, and social learning may pave a way to clear local misconceptions, improve transboundary water cooperation, and increase ecological stewardship in the Kabul River Basin.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.265
Teacher spread0.243 · 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