Determining the Effectiveness of an Adult Food Literacy Program Using a Matched Control Group
Bibliographic record
Abstract
OBJECTIVE: To determine the effect of Food Sensations for Adults on food literacy behaviors and selected dietary behaviors. METHODS: A quasi-experimental design using preprogram and postprogram questionnaires over 4 weeks with a control group (n = 75) matched for sex, age group, and socioeconomic disadvantage to program participants (n = 867). General linear mixed models assessed change in food literacy behavior frequency in 3 self-reported domains (plan and manage, selection, and preparation) and fruit and vegetable servings. RESULTS: Postprogram, Food Sensations for Adults participants reported modest yet statistically significant score improvements in 2 of the 3 domains of food literacy behaviors in the plan and manage (12.4%) and preparation (9.8%) domains, as well as servings of vegetables (22.6% or 0.5 servings). CONCLUSION AND IMPLICATIONS: Quasi-experimental designs indicate food literacy programs can produce modest short-term changes across a range of food literacy and dietary behaviors.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".