An estimation of farmland prices in Romania after the application of law 17 of 2014.
Bibliographic record
Abstract
The paper presents an estimate of the average national price of agricultural land, for the years 2014 (second half), 2015, 2016 and 2017 (the first three quarters). Throughout the investigated period, the average price was about 4000 euro/ha. For this estimation, the public data on the sale offers of agricultural land outside the localities were used, for parcels larger than 30 ha. For the comparison with the prices of parcels smaller than 30 ha, the average price in the third quarter of 2017 was also estimated, for three counties (Bacău, Olt and Mureş). The results confirm the experts’ perception of the price gaps between the small-sized parcels and the large-sized parcels, the value of the latter being almost double. The analysis also highlights the differences between the farmland prices in the counties with high agricultural potential, from the plain area, where the number of transactions with consolidated land is also higher, compared to the counties from the hilly area, where prices are lower.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".