MétaCan
Menu
← Back to cohort
Record W7135923321

Grønlandskortet

2017· book· da· W7135923321 on OpenAlexaff
Anders Henriksen, Jon Rahbek-Clemmensen

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2017
Typebook
Languageda
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsInstitute on Governance
Fundersnot available
Keywordsnot available
DOInot available

Abstract

fetched live from OpenAlex

Arktis' betydning for Danmarks indflydelse i USA I Denne rapport er en del af Center for Militære Studiers forskningsbaserede myndighedsbetjening for Forsvarsministeriet og de politiske partier bag forsvarsforliget.Formålet med rapporten er at analysere hvilke påvirkningsmuligheder Arktis og Grønland giver Danmark i forhold til USA, samt at komme med anbefalinger om hvordan dansk Arktisdiplomati i Washington D.C. kan styrkes.Rapporten er baseret på interviews med 35 politikere, embedsmænd og eksperter fra Danmark, Grønland og USA, samt to andre arktiske nationer.Center for Militære Studier er et forskningscenter på Institut for Statskundskab på Københavns Universitet.På centret forskes der i sikkerheds-og forsvarspolitik samt militær strategi.Forskningen danner grundlag for forskningsbaseret myndighedsbetjening af Forsvarsministeriet og de politiske partier bag forsvarsforliget.Denne rapport er et analysearbejde baseret på forskningsmæssig metode.Rapportens konklusioner er ikke et udtryk for holdninger hos den danske regering, det danske forsvar eller andre myndigheder.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.328
Threshold uncertainty score0.959

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.3280.178

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 head0.122
GPT teacher head0.375
Teacher spread0.253 · 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.

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

Explore more

Same venueResearch at the University of Copenhagen (University of Copenhagen)→Same topicIndigenous Studies and Ecology→French-language works237,207→