Bibliographic record
Abstract
In het overleg Pachtnormen 2020 heeft de vaste commissie voor Landbouw, Natuur en Voedselkwaliteit onder meer aandacht gevraagd voor de verhouding tussen het rendement van verpachting en de vermogensrendementsheffing over de pachtopbrengst in box 3. Dit onderzoek analyseert het directe en indirecte rendement van verpachting van landbouwgrond in de afgelopen drie decennia.Het nominale rendement van regulier verpachte grond in de periode 1990-2020 is berekend op ongeveer 7% per jaar.In a consultation on the 2020 Lease Standards, the standing committee for the Ministry of Agriculture, Nature and Food Quality has drawn attention to the relationship between the rate of return on leased land and the capital yield tax in box 3.This study analyses the direct and indirect returns of leased agricultural land over the past three decades.The nominal rate of return on leased land has been estimated at approximately 7% per annum during the period 1990-2020.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.007 |
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".