Bibliographic record
Abstract
Anthropogenic climate change is undeniably altering planet Earth, and agricultural emissions are a significant contributor to this crisis. Agriculture, specifically cattle farming, is a key emitter of GHG emissions, accounting for 14.5% of global GHG emissions. This paper thus asks, given that cattle farming contributes a significant amount of total global GHG emissions, if the elimination of cattle farming in the EU is a sustainable way to reduce total GHG emissions. This paper explores the sustainability of cattle farming in the EU and highlights the vital role that EU cattle farming plays in the EU economy and in meeting the global food supply. It also explores the role that beef consumption plays in human diets. By researching the available literature, this paper finds that the complete elimination of cattle farming in the EU would have devastating effects on the EU economy and would leave the global food demand largely unmet. Not to mention that the environmental benefits of eliminating cattle farming become less significant when accounting for the emissions of new economic activity on ex-cattle grazing lands. Thus, this paper highlights the importance of improving cattle management and changing dietary patterns to mitigate GHG emissions in the context of a worsening climate and an increasing global food demand that must be met.
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 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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; both teacher heads agree on what is shown here.
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".