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Record W7164712991

A case study analysis of permanent transfers of water rights in southern Alberta

2008· article· en· W7164712991 on OpenAlexaboutno aff
Lorraine A. Nicol, K. K. Klein, Henning Bjørnlund

Bibliographic record

VenueANU Open Research (Australian National University) · 2008
Typearticle
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsnot available
Fundersnot available
KeywordsWater conservationWater tradingInternational trade and waterWater useTransaction costFlexibility (engineering)Water rightValue (mathematics)Government (linguistics)Productivity
DOInot available

Abstract

fetched live from OpenAlex

In Alberta, water license holders can transfer water allocations on a temporary basis and water rights on a permanent basis. The temporary trade of water allocations provides flexibility to manage water in times of short-term water supply constraints, while the permanent trade of water rights facilitates long-term adjustment in anticipation of future water constraints and the shifting of water from inefficient low value users to efficient high value users. This study investigates the market for the trade of water rights in southern Alberta and finds that this market is exhibiting many of the characteristics of early water markets elsewhere. At a time when the Alberta government is ushering in a new water management system through its Water for Life Strategy, the market for water rights is contributing to the government's efficiency and productivity goals, albeit to a minimal degree due to the marginal amount of market activity occurring. At the same time such activity may be compromising water conservation efforts. In the long run, environmental and policy changes that impose greater water constraints will hasten market development. In the meantime, practical changes to administrative systems that facilitate information flow and reduce transaction costs are recommended.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.314

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.097
GPT teacher head0.297
Teacher spread0.199 · 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 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

Citations0
Published2008
Admission routes1
Has abstractyes

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