MétaCan
Menu
← Back to cohort
Record W7133277075

Demersal Juvenile Atlantic Cod (Gadus morhua) Survey of the Northeast Coast of Newfoundland : 2020 Fleming Survey

2022· other· en· W7133277075 on OpenAlexaffabout
Ron S. Lewis, Danny Ings, Bob Rogers

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsGovernment of CanadaFisheries and Oceans Canada
Fundersnot available
KeywordsDemersal zoneJuvenileBayPeninsulaSurvey methodologyAbundance (ecology)Demersal fishGeological surveyAtlantic cod
DOInot available

Abstract

fetched live from OpenAlex

A survey of demersal juvenile Atlantic cod (Gadus morhua) was conducted along the Northeast Coast of Newfoundland in nearshore waters (<10 m deep) from 1959–64 by Government of Canada Departments (now represented by the Department of Fisheries and Oceans [DFO]). This survey (which became known as the Fleming survey, after originator Alistair Fleming) aimed to characterize the distribution and abundance of juvenile Atlantic cod and was based upon Norway’s Flødevigen sampling program which has been conducted continuously since 1919. A 25 m seine was used to sample juvenile Atlantic cod nursery locations on the Avalon Peninsula and Northeast Coast of Newfoundland in September and October. The survey was discontinued in 1964 but was reinstated by Memorial University of Newfoundland from 1992–97. Multiple tows were conducted at a subset of the original 55 Fleming sites located in St. Mary’s Bay, Trepassey Bay, the Southern Shore, Conception Bay, Trinity Bay, Bonavista Bay, Gander Bay, New World Island, Fortune Harbour, Badger Bay, Halls Bay and Green Bay. A full version of the survey (40 sites) was executed in 2001 and select sites were surveyed in 2017 and 2018. The Fleming survey program was reestablished by DFO in 2020. A total of 42 of the modern subset of 45 sites were visited resulting in 40 sites being sampled successfully in 2020. Direct comparison of Atlantic cod catch (count, lengths and rate) is possible across the time series because of consistency with survey methods. The primary objective was to collect data to determine abundance of age 0-, 1-, and 2- group cod to compare with previous surveys and reestablish a network of inshore harvesters (active and retired) to participate in the survey. A total of 665 juvenile cod (615 0-group; 47 1-group, 3 2-group) were collected at 40 sites between St. Mary’s Bay and western Notre Dame Bay. The catch of 0-group cod dominates the overall catch (mean=15.38 cod/tow). In general, the mean juvenile cod catch for each group is similar to the mean catches from the 1990s and latter part of the 1959–64 time series. During the 2020 survey, only one tow was made per site to measure juvenile cod density due to logistical constraints. In earlier Fleming survey programs, multiple tows were conducted (minimum two) at a survey site in an attempt to develop a density index. In 2020, the average catch rate for 0-, 1-, and 2-groups was 15.38, 1.18, and 0.08 cod per haul respectively. These rates are generally consistent with the average cod per tow (first tow only) reported from the Fleming survey in the post collapse era (1992–97, and 2001): 13.35, 5.90, and 0.56 cod per tow for 0-, 1- and 2- groups. Densities of juvenile cod have not recovered since the stock collapse in the early-1990s, despite some improvements in adult population size.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score0.310

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.234
Teacher spread0.222 · 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
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada→French-language works237,207→