Bibliographic record
Abstract
Professor og centerleder Marlene Wind var søndag den 18. juni interviewet i BT under overskriften ”Nu begynder stjernekrigen”. Brexit forhandlinger starter officielt i dag mandag den 19. juni, og professor Wind udtalte sig i relation til dette, om hvilke konsekvenser det nylige britiske valg har for Theresa Mays forhandlingsposition. Wind nævnte blandt andet, at det formelt ikke betyder noget, men at udfaldet af valget gør, at May står svagere og ikke har samme råderum. Dette skyldes, at hun nu skal cleare alle dele af forhandlingerne med DUP, hvilket kan gøre forhandlingerne meget langsommelige. En anden udfordrende del af forhandlingerne, som Wind understreger, er diskussionen om betaling af de 100 milliarder euro som Storbritannien skylder EU. Storbritannien vil ikke betale, og EU vil ikke gå videre med forhandlingerne, før dette punkt er afgjort. Wind nævner i tilknytning hertil, at EU står meget stejlt på denne holdning, hvilket yderligere kan bremse forhandlingerne.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.322 | 0.203 |
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".