The Husbandry of Technology: Farm Families' Cultivation of Technological Knowledge under 'Neo-Productivist' Conditions
Bibliographic record
Abstract
Issues such as a rising world population, climate change and the economic crisis have led to a questioning of the UK's agricultural sector to maintain a sufficient and reliable food supply. As a result, led by various policy thinktanks, the UK Government is looking to technology to increase sustainable food production. This paper explores the contemporary nature and importance of family farming in the UK, and interrogates how these changes may become reality for these members of the agricultural sector. It is particularly concerned with the processes that surround the introduction, use and maintenance of technology on family farms. To do this, the article draws on six months of ethnographic fieldwork conducted on family farms in Ceredigion, Wales, U.K. The paper makes significant contributions to understandings of the family farming way of life, theorisations of technologies in 'context' and 'culture', and conceptualisations of future 'neo-productivist' agriculture. Keywords: family farming, technology, neo-productivism, ethnography, knowledge-practices
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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 | 0.001 | 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 | 0.001 | 0.001 |
| 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".