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Record W4238440458 · doi:10.24124/2011/bpgub828

The Fraser Basin Initiative and integrated water resource management as a model for river basin management globally.

2011· dissertation· en· W4238440458 on OpenAlexaboutno aff
Dennis W. Balogh

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsIntegrated water resources managementStructural basinDrainage basinEnforcementEnvironmental resource managementOutreachWater resourcesGeographyEnvironmental planningPolitical scienceEnvironmental scienceEcologyGeologyCartography

Abstract

fetched live from OpenAlex

Freshwater resources above and below ground worldwide are deteriorating due to overconsumption and abuse. In the wake of this increasing deterioration, Integrated Water Resources Management (IWRM) has come to the fore as a leading process for dealing with freshwater management issues. The Fraser Basin Council (FBC), a river basin management organization in British Columbia, Canada, has been asked to present their basin management model, which operates on IWRM principles, to different countries around the globe through their International Outreach Program. Through reviewing the tenets of IWRM, the various aspects of the FBC, and select freshwater indicators in the Fraser Basin, this thesis analyzes whether the FBC is effective at managing the Fraser River Basin, and if the RBC process is applicable to other basins. Our findings indicate that although the FBC is somewhat effective at managing the Fraser Basin, the FBC model is not necessarily applicable to other basins given the FBC's lack of authority to enforce its own decisions and its reliance on government and stakeholders for action and enforcement. --P. ii.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.862
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.004
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.023
GPT teacher head0.277
Teacher spread0.254 · 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 designQualitative
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

Citations0
Published2011
Admission routes1
Has abstractyes

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