Proactive consumer consultation: the effect of information provision on response to transgenic animals
Bibliographic record
Abstract
Abstract A national study is reported which proactively engaged 1365 Canadian consumers and solicited their opinions concerning new transgenic salmon and pork products which have not yet entered the marketplace. Respondents were methodically requested to provide initial free‐association responses, and then scaled responses to product concepts about which progressively more information was revealed. This combined qualitative and quantitative method was pursued in order to determine initial knowledge levels and subsequent responses with a minimal amount of cueing via question probes. The results indicate that disclosure concerning benefits and risks of these new technologies did not harm judgements about them or estimates of purchase intent. A significant determinant of opinions was the gender of the respondent. Females were more negatively predisposed overall to the concepts and more sensitive to specific information regarding product benefits and risks. The research offers a methodological template for public consultation and communication pre‐testing for new biotechnological products. Implications for regulatory policy and information dissemination for new food biotechnology products are discussed. Copyright © 2005 John Wiley & Sons, Ltd.
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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 | 0.018 | 0.143 |
| 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 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".