Teaming Children and Elders to Grow Food and Environmental Consciousness
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
Fueled by concerns of a pending global crisis, environmental educators ask the question: How can we promote a responsible attitude and caring view of the planet among young people? Although nurturing an emotional connection with nature is a prominent theme and goal for environmentalists (Berry, 1987 Berry, W. 1987. Home economics, San Francisco: North Point Press. [Google Scholar]), little is known about how to translate environmental philosophies into education practice. To address this challenge we designed the Intergenerational Landed Learning Project, which brings together community elders, elementary students, and their teachers on an urban farm to explore how farming practices can be integrated with school curriculum to foster environmental knowing and care. In this article we provide empirical evidence that an intergenerational learning experience that involves working with the land can be powerful in promoting environmental concern and discuss the challenges we encountered in carrying out this initiative.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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