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Record W7135917696

Hvem tror seriøst på, at USA nogensinde igen kommer til at løse Europas problemer? Drop nu det forsvarsforbehold

2022· article· da· W7135917696 on OpenAlexaff
Marlene Wind

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2022
Typearticle
Languageda
FieldSocial Sciences
TopicEuropean and Russian Geopolitical Military Strategies
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsContext (archaeology)Work (physics)Government (linguistics)Perspective (graphical)
DOInot available

Abstract

fetched live from OpenAlex

Professor Marlene Wind skriver i denne klumme om, at vi i Europa ikke kan stole på USA, når det kommer til forsvars- og sikkerhedspolitik. Hun advokerer på den baggrund for, at Europa i højere grad skal stå sammen om en fælles identitet og udenrigspolitik, og at Danmark bør afskaffe forsvarsforbeholdet.

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)0.004
metaresearch head score (Gemma)0.008
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.055
Threshold uncertainty score0.183

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.003
Scholarly communication0.0110.006
Open science0.0010.005
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0550.011

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 head0.079
GPT teacher head0.292
Teacher spread0.213 · 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
GenreCommentary

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
Published2022
Admission routes1
Has abstractyes

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