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Record W6966437486 · doi:10.48336/xb5t-6h64

Exploring trophic dynamics and fish condition during autumn to understand the lack of recovery of groundfish in southern Newfoundland

2025· article· en· W6966437486 on OpenAlexaffabout

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsGroundfishTrophic levelFishingIsotope analysisCompetition (biology)BycatchSeasonality

Abstract

fetched live from OpenAlex

Following collapses in the 1990s, many Northwest Atlantic groundfish stocks have not recovered despite reduced fishing pressure. This leads to a key question in fisheries ecology today: Why do some stocks not recover? I address this question via analyses of condition, diet, and trophic dynamics of groundfish within Northwest Atlantic Fisheries Organization (NAFO) subdivision 3Ps. The first chapter introduces the research themes with seasonality highlighted and state of knowledge relevant to two subsequent research chapters. The second chapter uses diet and triple-stable isotope analysis (δ15N, δ13C, and δ34S) to quantify seasonal differences in southern Newfoundland Atlantic Cod (Gadus morhua) diets and condition. I report differences in both seasonal and ontogenetic patterns within this southern Newfoundland stock in condition, diet, and stable isotope values. Chapter 3 incorporates a multispecies approach using similar methods to chapter 2 alongside stable isotope mixing models to identify pre-winter trophic interactions within the southern Newfoundland groundfish community. Ontogenetic isotopic niche overlap among various species indicates potential size dependent competition among southern Newfoundland species during the autumn. This research provided pre-winter physiological condition of Atlantic cod and the trophic interactions among the groundfish community within the autumn in southern Newfoundland and supports seasonal variation among the trophic structure within southern Newfoundland that may help identify oceanographic change related productivity shifts within the ecosystem.

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 score0.233
Threshold uncertainty score0.468

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.045
GPT teacher head0.255
Teacher spread0.210 · 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
Published2025
Admission routes2
Has abstractyes

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