Economisch advies in woelig water: Wageningen Economic Research: nieuwe modellen wenselijk
Bibliographic record
Abstract
Al bijna 75 jaar verzamelt en analyseertWageningen Economic Research de economische gegevens vande visserijsector. In deze tijd waarin niets zeker lijkt te zijn is erveel vraag naar de sociaaleconomische effecten van (ruimtelijk)beleid op de Noordzee. Denk bijvoorbeeld aan de komst vanwindparken. Alle ontwikkelingen samen zorgen er echter ookvoor dat de waarde van afzonderlijke gebieden in de afgelopenjaren steeds minder zegt over de uiteindelijke effecten vansluitingen van deze gebieden voor vissers in de toekomst. ,,Hetgaat niet zozeer om besommingen en vangstmogelijkhedenin het verleden, maar meer om de toekomst. Samen metpartners gaan we daarom nieuwe modellen ontwikkelen om desociaaleconomische impact van gebiedssluitingen op zee voorvisserijgemeenschappen beter te schatten’’, aldus Arie Mol enHans van Oostenbrugge van WEcR
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".