Extending Social Theory to Farm Animals: Addressing Alienation in the Dairy Sector
Bibliographic record
Abstract
Abstract We extend social theory to farm animals in an attempt to illustrate how non‐human animals embedded in social systems can be examined using sociological concepts. Inspired by efforts to include the freedom to express natural behaviour in farm animal welfare standards, we apply M arx's conception of alienation to dairy cows. We first examine industrial dairy farm conditions and find that these systems result in the distortion of life and the suppression of physical and social needs. We then explore alienation in an alternative production system where cows graze on pasture and choose when to be milked by robotic milking machines. Based on farm visits and interviews with farmers, we find that this alternative system addresses several aspects of alienation found in industrial dairy farms. However, despite the benefits associated with alternative production systems, forms of alienation will persist in all systems where maximising profits remains prioritised over life and wellbeing.
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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 | 0.000 |
| 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".