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Record W7006314283

Task Forcen for tyndt befolkede områder under EK-NER : Mandat for Task Forcen for tyndt befolkede områder (TBO) - 2007.

2007· article· da· W7006314283 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2007
Typearticle
Languageda
FieldSocial Sciences
TopicLand Use and Management
Canadian institutionsnot available
Fundersnot available
KeywordsTask (project management)Task forceField (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

Nordisk Ministerråd har i 2006 understreget behovet for en tydelig langsigtet indsats for udbredelsen af vedvarende energi, også i de tyndt befolkede områder.Endvidere ønsker de nordiske energiministre, at der sættes fokus på samarbejdet med Nordens naboer mod vest i Canada og på Shetlandsøerne.Forhistorien hertil er, at Nordisk Ministerråd for Energi på møde i Gøteborg den 30. september 2003 besluttede at gøre særskilt opmærksom på og støtte indsatser til fremme af en holdbar energiforsyning i tyndt befolkede områder og i Arktis.Endvidere tilkendegav Nordisk Ministerråd for Energi og besluttede på møde i Narsarsuaq den 8. august 2005 at undersøge forudsætningerne for et udvidet samarbejde omkring energiforsyning til også at omfatte nabolandene som Canada og Shetlandsøerne.Embedsmands Kommitteen for Energi, Næring og Regional (forkortes EK-NER) har derfor nedsat en Task Force for bæredygtig energiforsyning i tyndt befolkede områder. Task Forcens betegnelse er i daglig tale TBO.

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.721
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.326
Teacher spread0.295 · 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