Bibliographic record
Abstract
Professor og centerleder Marlene Wind var søndag den 18. juni interviewet i BT under overskriften ”Nu begynder stjernekrigen”.<br/><br/>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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.632 | 0.132 |
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; both teacher heads agree on what is shown here.
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".