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Record W7024999589

SUFB 712: Capelin Stocks Declining In Eastern Canada Causing Worry For Fishing Community

2019· other· en· W7024999589 on OpenAlexaboutno aff

Bibliographic record

VenueInternet Archive (Internet Archive) · 2019
Typeother
Languageen
FieldDecision Sciences
TopicScientific Measurement and Uncertainty Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsCapelinFishingStock (firearms)PredationFish stockHerring
DOInot available

Abstract

fetched live from OpenAlex

The Capelin Fishing community in Newfoundland and Labrador is concerned that the stock has declined to a point where their livelihoods are in trouble. The fishing community has observed Capelin spawning later in the summer than normal and the individuals that are spawning are smaller than normal. Fisheries and Oceans Canada scientists are not too concerned about the low numbers of capelin as the stock has gone lower in the recent past and has rebounded. Capelin are prey to cod, turbot, salmon, whales, and seabirds; therefore, their numbers are related to the number of predators. Capelin numbers fell to an all-time low right before the cod stocks collapsed in the late 1990s and it took them over a decade to recover. Cod and turbot stocks are doing better, which could lead to a decrease in capelin numbers in the short term.The big question for this story is how do you manage a fishery, where the fish are being eaten by natural predators rather than humans. Let me know what you think of this situation in the Speak Up For Blue Facebook Group: http://www.speakupforblue.com/group.Want to get started on living for a better Ocean? Sign up for the Grove Collaborative and get a free gift: http://www.speakupforblue.com/goocean.

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)0.008
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.129
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.185
GPT teacher head0.371
Teacher spread0.186 · 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
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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