Task Forcen for tyndt befolkede områder under EK-NER : Mandat for Task Forcen for tyndt befolkede områder (TBO) - 2007.
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.072 | 0.045 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".