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Record W4302975815 · doi:10.47886/9781888569964.ch14

Eels at the Edge: Science, Status, and Conservation Concerns

2009· book-chapter· en· W4302975815 on OpenAlexaboutno aff

Bibliographic record

VenueAmerican Fisheries Society eBooks · 2009
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAnguilla rostrataAnimal scienceJuvenileGeographyBiologyFisheryEcology

Abstract

fetched live from OpenAlex

Abstract.—The eel ladder at the Moses-Saunders Dam at Cornwall, Ontario, provides the longest recruitment index of migrating juvenile American eels Anguilla rostrata in the species’ range, spanning 30 years from 1974 to 2003. Historically, mean size of eels ascending the ladder during the peak midsummer migration period was significantly smaller than mean size of eels in the total annual run. From the 1970s to 2000s, mean size during peak migration increased significantly (P < 0.0001), a 1.4- and 2.6-fold increase in length and weight, respectively. In 1988, length surpassed a transitional size of 400 mm and has remained above this level since 1993. A new index of passage of small eels (<400 mm) during peak migration was developed to better indicate young eel recruitment. From 1975–1983, the new index indicated a high percentage (61.2–93.8%) of small eels, but a decline started in the mid-1980s, and in 1988, for the first time fell below 50% of peak passage (46.6%). To date, the declining trend of small eel passage continues (1989–2002, x = 31.4 ± 12.7–95% CI). Not only has the number of eels ascending the ladder decreased significantly during peak migration (>3 orders of magnitude, 1982–2001), but there has been a coincident significant increase in the size of eels. Recruitment of small, young eels has essentially ceased.

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)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.222
Teacher spread0.207 · 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 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

Citations1
Published2009
Admission routes1
Has abstractyes

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