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Record W2804185164

Local knowledge of a unique population of Atlantic salmon: implications for community-based management of recreational fisheries in Newfoundland and Labrador

2000· book-chapter· en· W2804185164 on OpenAlexaboutno aff
Stephen G. Sutton

Bibliographic record

VenueResearchOnline at James Cook University (James Cook University) · 2000
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFishingRecreationFisheryGeographySalvelinusSalmoWildlifeRecreational fishingPopulationFisheries managementTroutFontinalisFish <Actinopterygii>SocioeconomicsEcologyDemographyBiology
DOInot available

Abstract

fetched live from OpenAlex

[Extract] Recreational fisheries resources have considerable social, cultural, and economic value to the people of the province of Newfoundland and Labrador. The 1991 Survey of Hunting and Fishing in Canada found that the province has the highest rate of participation in recreational fishing in terms of the proportion of the population who participate (38 per cent) and mean number of days fished per year (17.5 days) of all Canadian provinces (Canadian Wildlife Service, 1993). The total gross economic value of Newfoundland and Labrador's recreational fisheries in 1990 was estimated to be $106.4 million (Buchanan et al., 1994). The primary species exploited recreationally in the province are migratory and non-migratory Atlantic salmon (Salmo salar) and brook trout (Salvelinus fontinalis).

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score0.434

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.026
GPT teacher head0.244
Teacher spread0.218 · 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 designQualitative
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
Published2000
Admission routes1
Has abstractyes

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