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Record W7135794745

Briter afviser Danmark - vil beholde EU-juvel

2017· article· da· W7135794745 on OpenAlexaff
Marlene Wind

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2017
Typearticle
Languageda
FieldSocial Sciences
TopicGovernment, Law, and Information Management
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsGovernment (linguistics)Context (archaeology)Work (physics)European unionOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

Da Storbritannien har meddelt, at de vil træde ud af EU skal det Europæiske Lægemiddelsagentur placeres i et nyt land. Til dette har Danmark ansøgt. Men briterne håber stadig at kunne beholde agenturet. Til det kommenterede Marlene Wind i Jyllands-Posten onsdag d. 19. april:

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.452
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0110.005
Scholarly communication0.0000.003
Open science0.0060.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.5440.093

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 head0.104
GPT teacher head0.333
Teacher spread0.228 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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