Bibliographic record
Abstract
The issue of the relationship between humans and the environments in which they live has long been central to anthropological inquiry. However, it has taken on increasing relevance as the survival of human societies is threatened by the destruction of the non-human world. This raises a number of ethical issues that are being explored increasingly particularly under the name of bioethics. However, the literature on agricultural ethics is mostly limited to the debate over livestock practices, and alternative agriculture is only beginning to receive attention from social scientists interested in ethical issues. Yet values often lie behind the choice to adopt non-conventional approaches to farming. This research focuses on knowledge, practice and values among organic farmers in Québec. It uses qualitative research methods (including about 40 in-depth face-to-face interviews) with organic farmers from four large regions in Québec to develop an anthropological approach to organic agriculture as both social movement and embodied practice. In this paper I will explore the ethics of responsibility – for various life forms, for wild and domesticated “nature, ” and for human communities – embodied by organic
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.099 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".