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Record W4285774354 · doi:10.23849/npafctr15/69.70.

Indigenous Community Partnerships towards Foundational Understanding of Wild Salmon Survival

2019· article· en· W4285774354 on OpenAlexaff
William I. Atlas, William Housty, Jonathan D. Moore

Bibliographic record

VenueTechnical Report · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSubsistence agricultureIndigenousGeographyPopulationFisheryHabitatAbundance (ecology)Population declineProductivityEcologyRainforestBiologyEconomic growthArchaeologyDemographyAgriculture

Abstract

fetched live from OpenAlex

Salmon are foundational to the ecological and cultural integrity of British Columbia's remote North and Central Coast (NCC). With largely intact habitats, low human population density, and provincially legislated protections under the Great Bear Rainforest Agreement, this remote region supports hundreds of unique, locally adapted populations of salmon, and is critical to the long-term conservation of wild salmon in British Columbia. However, in recent years populations of sockeye salmon and other species on the North and Central Coast have experienced decreases in abundance and productivity (Peterman and Dorner 2012), resulting in declining opportunities for sport, commercial, and First Nation's subsistence fisheries (Connors et al. in review). While declining smolt-to-adult survival has been hypothesized as a possible driver of populations declines

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.103
GPT teacher head0.302
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 teacher head, not a consensus.

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
Published2019
Admission routes1
Has abstractyes

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