MétaCan
Menu
Back to cohort
Record W1976286862 · doi:10.1080/08865655.2011.590285

9/11, the BSE Crisis, and Environmental Management in the Transboundary Plains–Prairies Region

2011· article· en· W1976286862 on OpenAlexaffvenueabout
Shannon Bruyneel

Bibliographic record

VenueJournal of Borderlands Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPolitical scienceTerrorismGeographyEconomic geography

Abstract

fetched live from OpenAlex

As the Canada–US environmental relationship is driven by subnational, regional cross-border relationships, it has been argued that it is only indirectly affected by national differences in other policy domains. Although the Canada–US relationship has long been characterized by the absence of conflict, there are several policy domains in which the stances of the two nations diverge. This paper examines if Canada–US environmental relations in the subnational Saskatchewan–Montana borderland region remain indirectly affected after existing international tensions in other policy domains were inflamed by the September 11, 2001 (9/11) terrorist attacks on the United States and the 2003 BSE Crisis. 9/11 triggered a cascade of changes in the way that borders have been conceptualized and managed around the world, and it led to the implementation of stringent new border security regulations. Although 9/11 was a national/international level event, it has served to “thicken” the border at the national, regional, and local levels. By contrast, the BSE Crisis did not lead to such robust changes to the border and cross-border relationships; however, lingering tensions remain among some individuals and communities on the Canadian side of the border. This paper illustrates how restricted cross-border communication, mobility and cooperation, and eroded trust between international neighbors induced by 9/11 and the BSE Crisis, have been detrimental to formal transboundary grasslands conservation and management efforts across the Saskatchewan–Montana border.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.049
GPT teacher head0.335
Teacher spread0.285 · 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 designQualitative
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

Citations0
Published2011
Admission routes3
Has abstractyes

Explore more

Same venueJournal of Borderlands StudiesSame topicCross-Border Cooperation and IntegrationFrench-language works237,207