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Record W4297912367

Watershed Governance: Transcending Boundaries

2014· article· en· W4297912367 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDigital Library Of The Commons Repository (Indiana University) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsWatershedCorporate governancePolitical scienceBusinessComputer scienceComputer visionFinance
DOInot available

Abstract

fetched live from OpenAlex

"Watershed boundaries are widely accepted by many water practitioners and researchers as the de facto ideal boundary for both water management and governance activities. In governance, watershed boundaries are typically considered an effective way to integrate the social, political, and environmental systems they encompass. However, the utility and authenticity of the watershed boundary for water governance should not be assumed. Instead, both scholars and practitioners ought to carefully consider the circumstances under which watershed boundaries provide an appropriate frame for governance. The purpose of this paper is to identify how water governance can transcend the watershed boundary. An empirical case study of governance for water in Ontario, Canada, reveals boundary-related challenges. In this case, issues relating to boundary selection, accountability, participation and empowerment, policysheds and problemsheds reveal the strengths and weaknesses of relying on watershed boundaries as a frame of reference for governance. The case also highlights promising alternatives that are being used to transcend the watershed boundary."

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.588
Threshold uncertainty score0.548

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.004
GPT teacher head0.131
Teacher spread0.127 · 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