Newcomers to farming: towards a new rurality in Europe
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
One of the oldest laments in agrarian development has been over the ageing and loss of the farm population but, for the first time since the Second World War, a noticeable return to farming is now taking place across most of Europe. These farm entrants we classify as Continuers and Newcomers. Research shows that they have different characteristics. Newcomers are characterized by their profiles (female and higher education), the barriers they face (access to land, capital and markets) and by the business models that they adopt (pluriactive and multifunctional). This paper describes the main features of Newcomers as they form a new and dynamic group in European rural society and contribute strong social motivations and practices to farming. This change may be referred to as a shift from an agroindustrial to an agrosocial paradigm and, together with new social and environmental relations in food systems, forms a new rurality in Europe.
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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 | 0.001 |
| 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) | 0.001 | 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 it