MétaCan
Menu
Back to cohort
Record W659048778

The Future of Transatlantic Relations: Perceptions, Policy and Practice

2010· book· en· W659048778 on OpenAlexaboutno aff
Andrew Dorman, Joyce P. Kaufman

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicMilitary and Defense Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTransatlantic relationsAllianceGeneral partnershipPolitical scienceCold warPerceptionDivergence (linguistics)Political economyTerrorismForeign policyPublic relationsDevelopment economicsSociologyLawPoliticsEconomicsPsychology
DOInot available

Abstract

fetched live from OpenAlex

Since the end of the Cold War, and especially following the US decision to invade Iraq, the once strong partnership between the US, Canada, and the European allies has faced the serious possibility of significant change, or even dissolution. At the very least, fundamental differences have emerged in the ways that many of the partners, perceive the issues that are most important to them-from perceptions of the threat of terrorism and attitudes to the use of force, to expectation about the future nature of the NATO Alliance-and in the ways in which those perceptions have become translated into policy decisions. In this book, experts from both sides of the Atlantic seek to explain why there has been so much divergence in the approach the various countries have taken. And it seeks to raise questions about what those divergent paths might mean for the future of transatlantic relations.

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)0.006
metaresearch head score (Gemma)0.004
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 score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.027
Scholarly communication0.0190.015
Open science0.0010.005
Research integrity0.0050.007
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 head0.012
GPT teacher head0.317
Teacher spread0.305 · 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

Citations36
Published2010
Admission routes1
Has abstractyes

Explore more

Same topicMilitary and Defense StudiesFrench-language works237,207