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Record W2279324170

Assessing the viability of the Species at Risk Act in managing commercial exploitation and recovery of threatened and endangered marine fish in Canada

2012· article· en· W2279324170 on OpenAlexaboutno aff
Courtney Danielle Druce

Bibliographic record

VenueSummit (Simon Fraser University) · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsThreatened speciesEndangered speciesFisheryFish <Actinopterygii>EcologyBiologyHabitat
DOInot available

Abstract

fetched live from OpenAlex

Commercially exploited threatened or endangered marine fish are consistently declined for listing under Canada’s Species at Risk Act (SARA), largely due to predicted socio-economic impacts associated with SARA’s prohibitions. However, commercial exploitation can be exempted from SARA’s general prohibitions. If exemptions were utilized, commercially exploited species could benefit from other aspects of SARA listing, and support continued economic opportunities for fishers. I conducted a literature review, key expert workshop, and interviews to develop potential criteria to determine when this management approach might be appropriate. I administered a questionnaire to experts and stakeholders to evaluate the importance of the criteria, and elicit opinions on SARA’s possible role in marine fisheries management. Respondents favoured criteria that supported the biological feasibility of species recovery, and promoted compliance with management objectives, but disagreed over how at-risk marine fish could best be managed. Recommendations focus on ways to resolve the listing bias against marine fish.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score0.345

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.210
Teacher spread0.193 · 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.

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

Citations2
Published2012
Admission routes1
Has abstractyes

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