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Record W1567176996 · doi:10.1017/cbo9780511810473.009

Myths and Giants: The influence of the European Union and the United States

2008· book-chapter· en· W1567176996 on OpenAlexaff
Catherine Dauvergne

Bibliographic record

VenueCambridge University Press eBooks · 2008
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMythologyEuropean unionPolitical scienceEconomic historyGeographyHistoryInternational tradeEconomicsClassics

Abstract

fetched live from OpenAlex

Tales of globalization invariably return to one of two geographies – the European Union or the United States. In the case of Europe this turning is a romantic longing: a sense that Europe is the peaceful way of the global future. With good luck and good governance we can imagine Europe is what globalization will mean for all of us: eroding borders and diminished sovereignty, all to mutual benefit. Europe is set on a course of steady expansion, spreading the blanket of strong human rights protections and robust international law ever eastward and southward. Candidate countries are eager to comply and join; enticed by the prospect of economic union, they rush to improve conditions of human flourishing. What could be better for all than to turn the globe itself into an area of freedom security and justice? The United States is the twin avatar of globalization. Although the image is not exclusively rosy, the United States is the sole remaining superpower, winner of the Cold War, uncontested hegemon. In contrast to Europe, the United States is engaged in a more “direct delivery” method for the global spread of democracy and human rights. There is enormous contestation within and outside the United States about the virtues and values of its war on terror. This is a debate about methods, not about the ultimately unambiguous good of conquering terrorism and bringing the disputes it represents within an appropriately broad democratic umbrella.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.984
Threshold uncertainty score0.998

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 studies0.0010.005
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.017
GPT teacher head0.207
Teacher spread0.190 · 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 designNot applicable
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

Citations0
Published2008
Admission routes1
Has abstractyes

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