Barriers, Strategies, and Resources to Thriving School Gardens
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
OBJECTIVE: To identify school garden attributes and practices that most strongly contribute to garden use and sustainability and translate them into recommendations for improving garden-based nutrition education. DESIGN: Surveys were developed and administered to school stakeholders to assess the barriers, strategies, and resources for successful school garden-based nutrition education. A panel of school garden experts identified thriving school gardens. Logistic regression was used to identify which attributes predicted thriving school garden programs. SETTING: Approximately 109 schools across Greater Austin, TX. PARTICIPANTS: A total of 523 school teachers and 174 administrators. OUTCOMES: Barriers, strategies, and resources relevant to successful school gardening nutrition programs. RESULTS: Thriving school gardens were 3-fold more likely to have funding and community partner use (P = 0.022 and P = 0.024), 4 times more likely to have active garden committees (P = 0.021), available garden curriculum (P = 0.003), teacher training (P = 0.045), ≥ 100 students who used the garden annually (P = 0.047), and 12 times more likely to have adequate district and administrator support (P = 0.018). CONCLUSIONS AND IMPLICATIONS: Adequate administrative and district support is fundamental when implementing a school garden. Schools may benefit from finding additional funding, providing teacher garden training, providing garden curriculum, forming garden leadership committees, and partnering with local community organizations to improve garden-based nutrition education.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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