Targeting adolescents as agents of change for an entomophageous future
Bibliographic record
Abstract
Abstract As food supply practices must adapt to the reality of limited natural resources, alternative solutions must be found to meet the dietary needs of a growing world population. Edible insect consumption represents a sustainable substitute to that of conventional meat. Psychological barriers are largely responsible for dictating Westerners’ aversion towards insect eating. As adolescents have been less exposed to socio‐cultural constructs and as their food habits are less entrenched, they might express a greater openness towards edible insect products. This study aims to assess the impact of exposure and familiarisation with edible insects on adolescents' attitudes towards entomophagy. Between February 2018 and January 2020, 662 students aged 15–16 years from a Canadian high school engaged in a pedagogical insect farming project during which they had the chance to learn about insects as a sustainable foodstuff, while being familiarised with insect farming methods. Three different student cohorts took part in this project. The first and second had the opportunity to raise crickets and the third mealworms. Relying on surveys distributed before and after these 3 month projects, time‐based and type‐based analyses regarding students’ initial attitudes towards edible insects and their evolution over the course of these activities were performed. Results showed that the project greatly enhanced their acceptance towards edible insect consumption, suggesting that the speed and impact of peer influence amongst adolescents could be leveraged in promotional efforts to accelerate the adoption of edible insects.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".