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Record W32691220 · doi:10.29173/alr269

The Basics of Species at Risk Legislation in Alberta

2012· article· en· W32691220 on OpenAlexaffvenueabout
Shaun Fluker, Jocelyn Stacey

Bibliographic record

VenueAlberta Law Review · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsUniversity of British ColumbiaUniversity of Calgary
Fundersnot available
KeywordsEndangered speciesWildlifeNorth American Model of Wildlife ConservationLegislationStatutory lawLegislatureGovernment (linguistics)Threatened speciesPolitical scienceFederal lawWildlife conservationGeographyLawEnvironmental protectionBusinessHabitatEcologyBiology

Abstract

fetched live from OpenAlex

This article examines Alberta’s Wildlife Act and the federal Species at Risk Act (SARA) to assess the legal protection of endangered species in Alberta. Most of the discussion relates to provisions contained in SARA, as there is comparatively less to discuss under the Wildlife Act. The fact that legal protection for endangered species in Alberta consists primarily of federal statutory rules is unfortunate, as wildlife and its habitat are by and large property of the provincial Crown, and it is a general principle of constitutional law that the federal government cannot in substance legislate over provincial property under the guise of a regulatory scheme. The legal protections in SARA are, thus, for the most part restricted to species found on federal lands and to species that fall under federal legislative powers. This article demonstrates that the Alberta government has chosen to govern species at risk almost entirely by policy and discretionary power. The limited application of federal protections to provincial lands and the absence of meaningful protection in the Wildlife Act leads the authors to conclude that, despite a perception of legal protection for endangered species, such protection does not exist in Alberta.

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: Other · Consensus signal: none
Teacher disagreement score0.874
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)0.0020.001

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 head0.016
GPT teacher head0.229
Teacher spread0.213 · 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
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

Citations2
Published2012
Admission routes3
Has abstractyes

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