Klimaat in Vlaanderen als ruimtelijke uitdaging
Bibliographic record
Abstract
Het klimaat verandert en zet Vlaanderen onder druk. De voorbije jaren lag de focus in het klimaatdiscours vooral op mitigatie. Maar nu we het klimaatprobleem beter begrijpen, treedt adaptatie stilaan op de voorgrond. Hoe gaan we om met de gevolgen van klimaatverandering? Wat zijn de klimaateffecten waar we in Vlaanderen rekening mee kunnen en zullen houden? Hoe gaan we om met de klimaatimpacten en welke kansen kunnen we benutten? In het boek Klimaat in Vlaanderen als ruimtelijke uitdaging staat de zoektocht naar adaptatiestrategieën voor de Vlaamse ruimtelijke structuur, ontwerpend onderzoek en een aanzet to beleidsaanbevelingen centraal.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.033 | 0.003 |
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".