‘We are all in this together’: Investigating alignments in intersectoral partnerships dedicated to K-12 food literacy education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Activities to foster food literacy in young people are increasingly common in schools, driven both by the public health sector and by curriculum mandates from education officials in government. In Canada, both Kindergarten-Grade 12 (K-12) classroom teachers and educators from community organisations deliver food literacy education programmes in schools, often framed as partnerships working in the interests of young people. OBJECTIVE: The study examines the alignment between what both classroom teachers and community educators state are the desired outcomes for students of their food literacy education work and the topics/activities they engage in with students. DESIGN SETTING AND METHOD: We surveyed and interviewed teachers and community educators in British Columbia, Canada, and utilised participant observation and secondary data from food literacy education network activities. RESULTS: Shared food literacy education goals and topics/activities were evident in the responses of classroom teachers and community educators. Teachers framed their food literacy education programmes around the curriculum-as-plan - in this case, the provincial curriculum known as the BC Curriculum - and then enacted a lived curriculum that students experienced in the classroom. Community educators offered programmes that were initially designed to meet their organisation's focus, but which varied in terms of how much of the BC Curriculum was addressed. CONCLUSION: Our results show broad alignment between teachers and community educators in food literacy education goals and practices; however, there is potential to increase this alignment and build stronger partnerships that support teachers in enacting the BC curriculum and meeting the needs of their students.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it