Provinciaal beleid voor het versterken van de relatie tussen natuur en economie : een inventarisatie van provinciale invullingen van de ambitie ‘natuur en economie’ uit het Natuurpact
Bibliographic record
Abstract
One of the ambitions of the Nature Pact is to strengthen the relationship between nature and economy. We worked with the relevant stakeholders to inventory the policy strategies of the provincial governments in this area using the policy arrangement approach, and described the expectations, experiences and options for improving these strategies. Policy documents were systematically analysed, interviews were held with representatives from all the provincial governments and six concrete provincial strategies were selected for case studies. Four broad strategies for linking nature and economy were identified: nature-inclusive built environment, green revenue models, impact reduction and circular economy. Provincial policies for nature and economy are still fluid and under development; goals and policy strategies are not always clear and policy is often still experimental. Much experience has been gained over the past ten years and valuable networks have been built up, but little progress has been made on the ground. Before policies can be scaled up, ambitions, objectives, and guidelines and rules must be clearly defined.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".