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Record W4390709801 · doi:10.53055/icimod.1034

Elevating River Basin Governance and Cooperation in the HKH region: Summary Report I, Yarlung-Tsangpo-Siang-Brahmaputra-Jamuna River Basin

2023· report· en· W4390709801 on OpenAlexaff
Hemant Ojha, Jeff Camkin, Basundhara Bhattarai, Priyanka Gurung, Ajay Adhikari

Bibliographic record

Venuenot available
Typereport
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsInstitute on Governance
FundersDepartment of Foreign Affairs and Trade, Australian GovernmentInternational Centre for Integrated Mountain DevelopmentAustralian Government
KeywordsStructural basinCorporate governanceDrainage basinGeographyWater resource managementEnvironmental resource managementEnvironmental planningEnvironmental scienceGeologyBusinessCartography

Abstract

fetched live from OpenAlex

The report “Elevating River Basin Governance and Cooperation in the HKH region: Summary Report I on the Yarlung-Tsangpo-Siang-Brahmaputra-Jamuna River Basin” provides a comprehensive overview of the Brahmaputra River Basin, highlighting its significance as a crucial water resource for over 114 million people. It identifies challenges and opportunities for enhanced basin-scale management, emphasizing the potential for expanding bilateral cooperation, multilateral trade and investment fora, and mutual gains in areas of common interest. The report offers high-level recommendations based on the available literature and global good practices for strengthening basin-wide cooperation, while emphasizing the importance of engaging all relevant stakeholders to ensure effective and inclusive basin-wide cooperation. Key aspects of the report include: A detailed analysis of the Brahmaputra River Basin, its socio-economic trends, environmental characteristics, and climate change impacts. An examination of the state of basin governance, including relevant treaties, policies, and agreements. The report also focuses on gender and social inclusion (GESI) and engagement with all relevant stakeholders, including people with disabilities, indigenous people, and other marginalized populations in knowledge generation, dialogues, planning, and cooperation at the local and basin scales. It is part of a series of three reports on Elevating River Basin Governance and Cooperation in the HKH Region, which also include reports on the Ganges and Indus river basins.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.340
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.071
GPT teacher head0.327
Teacher spread0.256 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2023
Admission routes1
Has abstractyes

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