Evaluating the effectiveness of food safety messages along the agri-food chain from farm to fork
Bibliographic record
Abstract
This thesis is an investigation of current food safety messages available to food handlers and consumers along the farm-to-fork continuum. Through the use of qualitative and quantitative research techniques food safety messages were evaluated in a five-part investigation. The investigation included: an evaluation of an agricultural food safety training video as part of an on-farm food safety program; an evaluation of current food safety training programs used by Hospitality Services at the University of Guelph; observation and evaluation of the current level of food safety knowledge and behaviors of grocery store employees; a review and evaluation of consumer food safety educational campaigns Fight Bac! and Thermy; and an evaluation of television cooking shows as a source of food safety information. This research was able to conclude that the overall goal of any food safety program should be that the intended audiences understand, remember and effectively use all areas of the program. The key message for food safety communicators is that food safety is complex, and it requires constant vigilance and commitment.
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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 | 0.015 | 0.048 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".