Brazilian attitudes towards the use of animals in research
Bibliographic record
Abstract
Há poucos estudos sobre a opinião de latino-americanos quanto ao uso de animais em pesquisa. Este estudo avaliou o grau de apoio e as motivações de brasileiros em relação a essa questão. Os participantes foram aleatoriamente apresentados a dois cenários, um biomédico e outro ambiental, variando também o número de animais usados. Cada cenário se iniciava com o uso de suínos convencionais e prosseguia com o desenvolvimento e uso de animais geneticamente modificados. Foram analisadas 151 respostas quantitativas e 307 qualitativas. O cenário e o número de animais tiveram pouco efeito no apoio ao uso dos animais, no entanto, a oposição aumentou de 25% para 58% quando o uso de suínos geneticamente modificados foram apresentados no cenário ambiental. O apoio ao uso de animais em pesquisa estava frequentemente condicionado ao grau de bem-estar animal, e o apoio à pesquisa diminuiu com o uso de animais geneticamente modificados, em parte, devido aos riscos associados a essa tecnologia.
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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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".