MétaCan
Menu
Back to cohort
Record W2134294358 · doi:10.1017/s0008423907070175

Protecting Endangered Species in the US and Canada: The Role of Negative Lesson Drawing

2007· article· en· W2134294358 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Political Science · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsUniversity of British ColumbiaUniversity of Ottawa
Fundersnot available
KeywordsEndangered speciesStewardship (theology)Political scienceOpposition (politics)GeographySociologyLawDemography

Abstract

fetched live from OpenAlex

Abstract. Although the US and Canada share ecosystems, with many species ranging freely across the border, the two countries have taken very different approaches to protecting endangered species. The US Endangered Species Act , adopted in 1973, relies primarily on regulation, thus imposing the costs of protecting biodiversity on the private sector. In contrast, Canada's Species at Risk Act , adopted in 2002, relies primarily on public expenditures to support stewardship programs. We argue that this difference is best explained by negative lesson drawing from the US experience. In particular, awareness of the costs of species protection in the US led Canadian business to present stronger opposition to regulation than had their American counterparts decades earlier. We use the case of the Canadian Species at Risk Act to theorize about conditions under which negative lesson drawing is likely to be most influential. Résumé. Bien que les États-Unis et le Canada partagent les mêmes écosystèmes, les deux pays ont adopté des approches très différentes en matière de protection des espèces en péril. La Loi américaine sur les espèces en péril (US Endangered Species Act), adoptée en 1973, porte essentiellement sur la régulation, et de ce fait impose les coûts de la protection de la biodiversité au secteur privé. En revanche, la Loi canadienne sur les espèces en péril, adoptée en 2002, fait principalement retomber les coûts des programmes de gestion au secteur public. Nous démontrons que cette différence s'explique principalement par le rôle des leçons négatives apprises de l'expérience des États-Unis. La prise de conscience des coûts liés à la protection des espèces en péril aux États-Unis a notamment amené les milieux d'affaires canadiens à présenter une plus forte opposition à la régulation que leurs homologues américains l'avaient fait des années plus tôt. En s'appuyant sur le cas de la Loi canadienne sur les espèces en péril, nous visons à théoriser les conditions selon lesquelles l'acquisition de connaissance par leçons négatives (“ negative lesson drawing ”) est susceptible d'être le plus concluant.

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.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.435
Threshold uncertainty score0.166

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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)0.0000.000

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 head0.051
GPT teacher head0.210
Teacher spread0.160 · 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