Impact of Socioeconomic Factors on Florida Consumers' Perceptions on Use of Chemical in Locally or Regionally Produced Livestock Products
Bibliographic record
Abstract
The use of chemicals in livestock production has been an issue for consumers for several decades. This study, therefore, assessed the impact of socioeconomic factors on Florida consumers’ perceptions on the use of chemicals in locally or regionally produced livestock products. Data were collected from a sample of 404 participants from several Florida counties and were analyzed using descriptive statistics and ordinal logistic analysis. Most of the respondents were of the opinion that using chemicals in locally or regionally produced and sold beef or goat meat was a serious or somewhat serious hazard. The ordinal logistic regression results showed that several socioeconomic factors, such as household size, gender, age, and education had significant effects on pesticide residues; antibiotics; artificial fertilizers; additives and preservatives, and artificial coloring. It was recommended that producers and processors should minimize the use of chemicals in livestock products as this has both short- and long-term benefits.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".