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Record W1992736847 · doi:10.2166/wst.2006.319

Implementation of the Alberta Water for Life Strategy: strategic partnerships in action

2006· article· en· W1992736847 on OpenAlexaffabout
W.E. Berzins, Robyn Harrison, Phillipa Watson

Bibliographic record

VenueWater Science & Technology · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicSoil and Water Nutrient Dynamics
Canadian institutionsAlberta Environment and Protected Areas
Fundersnot available
KeywordsGeneral partnershipStewardship (theology)Environmental planningStakeholderWatershed managementGovernment (linguistics)BusinessWatershedMandateAction planEnvironmental resource managementWork (physics)Water supplySustainabilityDeliverableEngineeringPolitical scienceEnvironmental scienceEnvironmental engineeringManagementPublic relationsEcology

Abstract

fetched live from OpenAlex

Alberta's Water for Life Strategy was introduced in 2003 with three main goals: safe, secure drinking water supply; healthy aquatic ecosystems; and, reliable, quality water supplies for a sustainable economy. The strategy establishes a framework of partnerships within the province that are charged with stakeholder consultation, integrated watershed planning, policy recommendations and implementation of a broad range of initiatives within this diverse prairie ecosystem. The Government of Alberta has established a framework of partnerships charged with implementation of the strategy: the province-wide Alberta Water Council, watershed planning and advisory councils that work on a basin-wide basis and watershed stewardship groups that deliver on-the-ground programs at the local and community level. The authors discuss the mandate(s) of each partnership group, key actions and deliverables. Examples are provided of specific projects undertaken by each partnership and a summary is provided of lessons learned based on the authors' direct experience over the past five years.

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)0.009
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.309
Threshold uncertainty score0.621

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0080.002
Open science0.0020.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.033
GPT teacher head0.273
Teacher spread0.240 · 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

Citations3
Published2006
Admission routes2
Has abstractyes

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