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Record W1517412894

Fish community changes in an exploited marine ecosystem : Newfoundland Southern Grand Bank and St. Pierre Bank, 1951-1995

2000· dissertation· en· W1517412894 on OpenAlexaboutno aff
Jill Casey

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2000
Typedissertation
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsFisherySkateBiomass (ecology)GeographyBycatchPopulationFishingMarine reserveOceanographyEcologyBiologyGeology
DOInot available

Abstract

fetched live from OpenAlex

Longterm fish community changes on southern Grand and St. Pierre Banks were examined from dedicated research survey trawls conducted by the Canadian Department of Fisheries and Oceans from 1951-1995. These time series pre-date the arrival of factory-freezer-trawlers in the 1960's and 1970's. and thus provide insight into changes in the biomass and diversity of an exploited system. The time series were standardized by applying conversion factors for changes in vessel, diel changes in catchability, and relative catchability of selected species. Total biomass in the 1990's was reduced to 11% and 9% of that observed in the 1950's on southern Grand Bank and St. Pierre Bank, respectively, and largely resulted from the decline of the haddock population. Compensatory responses to this decline were visible with the flatfish on southern Grand Bank and skate on St. Pierre Bank but continued fisheries for flatfish and bycatch of skate ensured that total species biomass would remain at low levels. This study shows the importance of examining data on as long a time-scale as possible. Failure to examine such historical data has resulted in the largest skate in the northwest Atlantic, the barndoor skate, being driven to near extinction without anyone noticing.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.245
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 teacher head, not a consensus.

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

Citations4
Published2000
Admission routes1
Has abstractyes

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