AGRICULTURE AS A SECTOR OF PROFESSIONAL ACTIVITY OF RURAL INHABITANTS IN THE MAZOWIECKIE REGION
Bibliographic record
Abstract
The study aims to identify the importance of agriculture as a sector of professional activity of the inhabitants of rural areas in the Mazowieckie Region. The statistical section uses data from Eurostat and data available from the Local Data Bank, including the Labour Force Survey. The empirical research used the CAWI method, with a questionnaire on the webankieta platform directed to rural inhabitants of the region during the second quarter of 2022. It can be concluded that in comparison to other areas in Poland, the Mazowieckie Region is characterised by the most favourable employment structure with the highest percentage of employees in services (66%) and relatively average values for the rate of employees in the other two sectors (agriculture 9%, industry and services 24%). Results of empirical research among rural inhabitants of the region can lead to at least two significant conclusions farm work is still important for the investigated group. However, most respondents were employed or self-employed. It can also be noticed that the public sector (e.g. administration, education) plays a significant role for the local labour markets.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".