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Record W4404968005 · doi:10.1139/facets-2023-0194

Conserving at-risk aquatic species in agricultural drains

2024· article· en· W4404968005 on OpenAlexaffvenueabout
Fielding A. Montgomery, Dominique Rumball, Ian D. Smith, Nicholas E. Mandrak

Bibliographic record

VenueFACETS · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsThe Scarborough HospitalUniversity of TorontoCanadian Wildlife Federation
Fundersnot available
KeywordsAgricultureEnvironmental scienceAgroforestryBusinessEcologyFisheryBiology

Abstract

fetched live from OpenAlex

Many of Canada’s waterways are modified by the deepening and straightening of stream channels, converting them into agricultural drains to create arable land. While these agricultural drains support diverse aquatic communities and provide important habitat for species at risk, current policies allow for maintenance activities that threaten the survival and longevity of at-risk fish populations. Using three case studies from Ontario, we highlight current challenges to protecting aquatic species at risk in agricultural drains and potential conservation actions that can be taken to protect and restore aquatic species at risk and their habitat within those drains. Conservation actions may vary from ecological modeling to collaborative development of mitigation techniques, and restoration of naturalized habitat in anticipation of future alterations. We provide nine recommendations (including improved legislation, permitting, mitigation, and compliance) on how to better conserve and protect aquatic species at risk in agricultural drains in the future.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.004

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 head0.009
GPT teacher head0.207
Teacher spread0.197 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2024
Admission routes3
Has abstractyes

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