MétaCan
Menu
Back to cohort
Record W2488540964 · doi:10.1057/9780230246898_9

The Globalized Complexities of Transborder Governance in North America

2009· book-chapter· en· W2488540964 on OpenAlexaff
Stephen Clarkson, Antonio Torres-Ruiz

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2009
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSuperpowerGlobalizationPolitical scienceContext (archaeology)Corporate governanceDemocracyAutonomyPolitical economyPoliticsGovernment (linguistics)EconomyPublic administrationGeographySociologyEconomicsLaw

Abstract

fetched live from OpenAlex

Our central concern in this chapter is to understand national integration in order to reflect on its implications for democratic participation in the continent’s governance. While no multi-state region can any longer be understood outside its global context, North America is unique in this regard: as the United States of America’s home base, the northern continent of the Western Hemisphere is the platform from which the world’s only superpower engages with the rest of the planet. Consequently, any attempt to analyze North America’s governance has to be placed within the broader context of globalization and its effects on government autonomy (see Cohen 2001). Additionally, given North America’s second most striking characteristic as a region — its combination of a heavy set of economic rules in the form of the North American Free Trade Agreement (NAFTA) and a flimsy set of mechanisms with which to manage it — the analysis of its transborder workings has to reach far beyond any formal institutions to encompass nongovernmental actors in civil society and the marketplace. Before we proceed to analyze the region’s transborder political economy, we need first to specify how we conceptualize both globalization and governance.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.024
GPT teacher head0.269
Teacher spread0.245 · 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.

Study designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venuePalgrave Macmillan UK eBooksSame topicEuropean Union Policy and GovernanceFrench-language works237,207