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Record W2297370894 · doi:10.15273/pnsis.v47i2.4470

THE FISHERY FOR SPECKLED TROUT, Salvelinus fontinalis, OVER A 28 YEAR PERIOD IN THE TANGIER GRAND LAKE WILDERNESS AREA, NOVA SCOTIA

2013· article· en· W2297370894 on OpenAlexaffvenueabout
John L. MacMillan, Reginald J. Madden, Tamara S. Wilson, Megan Kenney

Bibliographic record

VenueProceedings of the Nova Scotian Institute of Science · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsNova Scotia Department of Agriculture
Fundersnot available
KeywordsTroutNova scotiaFisherySalvelinusGeographyFishingFontinalisCatch and releaseWildernessFish <Actinopterygii>Recreational fishingEcologyBiologyArchaeology

Abstract

fetched live from OpenAlex

The Tangier Grand Lake Wilderness Area (16,000 ha) is located about 100km east of Halifax, Nova Scotia, and supports a popular fishery for speckled trout. The purpose of this study was to assess the status of the trout fishery and address concerns related to over-exploitation. Angler check points were occupied during 1979 and 2007 on an access road to sample the catch of anglers during the May-June period of heavy angler activity. In 1979, a total of 1380 interviewed anglers spent 6889 hours to catch 1852 trout. In comparison, a total of 178 interviewed anglers spent 1363 hours to catch 593 trout during 2007. The differences associated with sample size between survey years reflect sub-sampling in 2007 rather than a change in angler activity. The majority of anglers retained less than three trout and of the total trout caught, anglers released 19% in 1979 and 50% in 2007. Catch per hour, size, age, and growth rate of trout were similar between surveys. Results indicated that there was little change in this fishery between the 28 years separating the two creel surveys.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.538

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.014
GPT teacher head0.228
Teacher spread0.214 · 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 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
Published2013
Admission routes3
Has abstractyes

Explore more

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