Bibliographic record
Abstract
There is increasing research on the effects of industrial livestock production on the environment and human health, but less on the effects this has on animal welfare and ecological justice. The concept of ecological justice as a tool for achieving sustainability is gaining traction in the legal world. Klaus Bosselman defines ecological justice as consisting of three elements: intragenerational justice, intergenerational justice, and interspecies justice. While the first two have been extensively discussed, interspecies justice has received less attention. It is argued that the neglect of interspecies justice in the practice of industrial livestock production leads to both intragenerational and intergenerational injustices. The article focuses primarily on an animal welfare perspective, addressing the extreme harm and oppression of animals entailed by their commoditization for industrial food production. The destructive impact of this mode of food production on environmental resources and its massive contributions to climate change also lead to the impoverishment of the food, environmental, social, and economic health of present and future generations. The article describes the legal mechanisms that have permitted, and indeed encouraged, the move to industrial livestock production, and suggests changes that could reduce the three kinds of ecological injustices which industrial livestock production produces.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.035 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".