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Record W6926503316 · doi:10.25316/ir-16312

Organizational arrangements for watershed governance on Vancouver Island : a focus on regional government roles and relationships

2021· other· en· W6926503316 on OpenAlexaboutno aff

Bibliographic record

VenueVIURRSpace (Vancouver Island University) · 2021
Typeother
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceGovernment (linguistics)PoliticsWatershedSocial capitalFocus (optics)Local governmentCapital (architecture)

Abstract

fetched live from OpenAlex

The nature of water being cross-jurisdictional, vital, and not constrained by political boundaries, underscores the importance of arranging the organizations that make and influence decisions about watersheds in a way that meets complexity with resilience. This research — through interviews, network mapping, grounded observation, and literature review –— investigates the experiences of various organizations within three Vancouver Island case study areas: Alberni-Clayoquot, Nanaimo, and Capital regions. Using a social-ecological systems lens focused on the system as a whole, inclusive of the organizations and the ecology, this study explores what organizational arrangements can support sustainable context-driven watershed decision-making. The results point to key principles for organizational roles and relationships concerning watersheds, including: multiplicity, capacity, forums, and reciprocity. Niches for regional government in a multi-level framework also emerged, such as: bridging to community; exercising some regulatory authority and influence; establishing reliable long-term funding mechanisms; convening across levels of government; and supporting First Nations leadership.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.144
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.027
GPT teacher head0.215
Teacher spread0.189 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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