Le vétérinaire en élevage bovin allaitant biologique : guide thérapeutique et enquête auprès d'éleveurs de Haute-Saône
Bibliographic record
Abstract
Raising organic beef cattle increased in recent years in France and the vet has a role to play, kno- wing that the specifications of this production involves a particular therapeutic approach, emphasi- zing in particular the use of alternative medicines like phytotherapy, aromatherapy and homeopathy. I have written and, after a brief presentation of the main alternative medicine, a therapeutic guide for large livestock diseases encountered by breastfeeding. Then I also conducted a field survey in my Haute-Saône to interrogate biological suckler breeders about their motivations to convert to this production and their difficulties regarding compliance with the specifications and control the health of animals. The final component of my questionnaire aims to consider the place of veterinary in these organic farms. The results are interpreted on the scale of my sample of 19 farmers, since the existence of certain biases forbids me to infer these conclusions to all breeders of organic beef cattle in the department. Preserving the environment is one of the reasons that motivated almost three quarters (74%) of sur- veyed farmers to convert to organic production. Note that improving the well-being and health of animals is a motivation cited by less than half (47%) of the sampled producers. Nearly nine out of ten farmers are generally satisfied with their conversion to organic farming. Concerning the difficul- ties encountered, the control of animal health problem for one quarter (26%) of the breeders and the most commonly encountered diseases are neonatal diarrhea (cited by 47% of respondents), respira- tory disorders in young (cited by 42% of respondents) and parasitism (cited by 37% of respondents). Note that 37% of farmers surveyed said they did not encounter any particular pro- blems. Over half of the sample farmers (53%) consider that the health status of their herd has im- proved since their conversion to organic. Concerning the curative effectiveness of alternative medi- cine, the views of farmers is quite mixed : 47% are generally convinced of their effectiveness while 32% are not. A quarter of the farmers (26%) called his vet less often since his conversion to organic. 62% of farmers, the vet is the main partner of their livestock. Regarding the most common ground of appeal veterinarian, it is a single event (cesarean, matrix inversion ...) 37% of farmers and a di- sease affecting one animal for 26% of them . Twenty-one percent of farmers interviewed see their veterinarian that during prophylaxis. Satisfaction of the veterinary involvement is highly variable : while 42% of farmers are satisfied with their veterinarian, 52% are not satisfied ...
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".