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Record W1981138147 · doi:10.1007/s12290-011-0161-7

The Transatlantic Relationship: An Alliance of Values

2011· article· en· W1981138147 on OpenAlexaff
Brian Crowley

Bibliographic record

VenueEuropean View · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsWilfrid Laurier UniversityArthur B. McDonald-Canadian Astroparticle Physics Research Institute
Fundersnot available
KeywordsAlliancePolitical scienceState (computer science)Political economyPoliticsDemocracyGeneral partnershipPolitical cultureLawCreating shared valueSociology

Abstract

fetched live from OpenAlex

The long-standing close relationship between the democracies of Europe and North America has been based on shared values. However, the central value we share is not democracy in the abstract. Rather, it is the spirit of individual liberty and the conviction, deeply rooted in our culture, that governments must be bound by the rule of law that preserves the rights of individuals and of minorities, plus a willingness to make sacrifices to defend these values. The will to protect and defend these values have been eroding on both sides of the Atlantic. But the process of erosion is clearly further advanced in Europe, where the institutions of the welfare state matter enormously and large portions of the populace have become dependent on state aid. These developments have brought both Americans and Europeans to a crossroads. On the one hand, Americans must resist the seductive urge to shrug off global responsibilities and retreat into isolation and, on the other, Europeans must beware of pushing their North American allies away. To preserve the transatlantic partnership we must grasp that what increasingly divides us is not policy disputes or political styles but the crumbling commitment of Western culture to the values that made it special and without which no will to defend it can possibly exist.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.024
Scholarly communication0.0190.012
Open science0.0010.013
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.115
GPT teacher head0.322
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2011
Admission routes1
Has abstractyes

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