Bibliographic record
Abstract
The abandonment of vineyards has shown to change the soil properties and structure. The analysis of vineyards in the Castilla y Leon region in northern Spain and the soil properties of specific points in the regions demonstrate that there is a change after abandonment of vineyard land. Historical data has shown that there has been observed changes in the soil and the hydrological properties in the soil after a vineyard has been abandoned (Vazquez-Blanco, 2022). Comparisons made between active vineyards and those that have been abandoned show some contrasts between each in the collected soil data and how the land use and land cover has changed (ESDAC, 2022). Additionally, the determination of why the vineyards were abandoned by the production yield and if the vineyards were abandoned due to economic reasons or if climatic changes caused for the land to be deem unsuitable for vineyard occupation. The purpose of this report is to show that soil properties and soil structure is altered in an area after vineyards are abandoned and the land is no longer cultivated. The comparisons of active vineyards and vineyards that are now abandoned provide for the stark differences to be observed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".