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Record W597454194

Simple Decision Guidelines for Terminal Fisheries Targeting Atnarko River, British Columbia, Chinook Salmon (Oncorhynchus tshawytscha)

2004· dissertation· en· W597454194 on OpenAlexaboutno aff
Gottfried Paul Pestal

Bibliographic record

VenueSummit (Simon Fraser University) · 2004
Typedissertation
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChinook windOncorhynchusWeightingFisheries managementFisheryGeographyBayesian probabilitySimple (philosophy)Environmental resource managementOperations researchComputer scienceFish <Actinopterygii>EngineeringEnvironmental scienceArtificial intelligenceBiologyFishing
DOInot available

Abstract

fetched live from OpenAlex

Indifference range MAD MAPE Participants in the decision-making processConsists of a series of binary choices (e.g.yes-no, ifthen), which split a set of observations into discrete categories and identify the appropriate class for a new observation.One example are the dichotomous keys used in field guides, which use a series of easily observable characteristics to identify species.Hierarchical structure in which higher levels consist of, and fully contain, all elements at lower levels.Examples include taxonomic nomenclature (phylum, class, order, family, genus, species) and administrative structures (country, province, regional district).Also referred to as a nested hierarchy.Abundance of adults on the spawning grounds, after the last interception fishery.See Food, Social, Ceremonial fisheries.First Nations fisheries to satisfy dietary and cultural need.FSC fisheries are an aboriginal right established in court, and have the highest priority among harvest groups.Fisheries and Oceans Canada, formerly Department of Fisheries and Oceans (DFO).Any individual catching salmon for dietary, cultural, recreational or commercial purposes.This includes First Nations individuals actively involved in fisheries.Range of values for an attribute over which the respondent is indifferent, because of uncertain data and robust management response. Mean deviation. Mean absolute deviation.Mean absolute percent error.This group includes all managers, analysts, and stakeholders actively and constructively contributing to fisheries management. Stakeholders Terminal area Terminal returnsAny individual or organization with harvest or nonharvest interests in the salmon.This group includes harvesters, environmental interest groups, academic researchers, and the general public.Used by FOC staff to describe the final part of the salmon migration route from their approach to freshwater entry into freshwater and up-river to the spawning grounds.Abundance of adult chinook migrating into the Bella Coola area, estimated from escapement and local catches in the food, recreational, and commercial fisheries.xii

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)0.007
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.002

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 head0.012
GPT teacher head0.232
Teacher spread0.219 · 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 designNot applicable
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

Citations1
Published2004
Admission routes1
Has abstractyes

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