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Record W2104941273 · doi:10.1139/a09-003

Canadian species at risk (2006–2008), with particular emphasis on fishes

2009· article· en· W2104941273 on OpenAlexafffundvenueabout
Jeffrey A. Hutchings, Marco Festa‐Bianchet

Bibliographic record

VenueEnvironmental Reviews · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversité de SherbrookeDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEndangered speciesThreatened speciesFish migrationWildlifeFisheryFreshwater fishEcologyGeographyConservation statusWildlife conservationBiologyHabitatFish <Actinopterygii>

Abstract

fetched live from OpenAlex

In accordance with the Species at Risk Act (SARA), the Committee on the Status of Endangered Wildlife in Canada (COSEWIC) is nationally responsible for assessing wildlife species considered to be at risk of extinction. A parliamentary review of SARA provides impetus for an up-to-date summary of recent assessments (2006–2008) and a spatiotemporal analysis of the status of Canada's largest vertebrate group of species at risk, fishes. From April 1978 through December 2008, COSEWIC had assessed 13 wildlife species as extinct and 564 at some level of risk (extirpated, endangered, threatened, special concern). Among these 577 assessments, 112 are for fishes (76% freshwater and diadromous; 24% marine). Slightly more than one-quarter (27%) of Canada's 205 freshwater and diadromous species of fishes, many of which are in southwestern Ontario and southeastern Quebec, have been assessed as being at risk throughout all or parts of their ranges. The percentage of Canadian freshwater and diadromous fish species assessed by COSEWIC as endangered or threatened (16%) is similar to the percentage of freshwater and diadromous fishes in the US that have been listed under the Endangered Species Act (12%). The proportion of wholly freshwater fishes assessed by COSEWIC that have been added to SARA's legal schedule is somewhat lower than that of other taxa. However, whereas the US listed its first marine fish in 2005, the Canadian government has to date not accepted COSEWIC's advice to list an endangered or threatened marine fish since the proclamation of SARA in 2003.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score0.993

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.009

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 head0.191
Teacher spread0.182 · 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

Citations39
Published2009
Admission routes4
Has abstractyes

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