Bibliographic record
Abstract
Although bushels of research have been collected about organic farms, artisanal food production, and community in relation to food, there exists little knowledge on educational-productive farms, which are farms intended for children that balance farm/food education and productivity. Children are involved in all aspects of food production from planting seeds to composting, caring for animals to harvesting them, cooking to eating. Drawing on ethnographic research conducted at Camp Treetops in Lake Placid, New York, this paper examines children’s bodily experiences on the farm. How does Camp Treetops’ living philosophy—and the way it manifests itself in the practices on the educational productive farm—affect children’s relationships with food? I argue that in being displaced from their homes and transported to camp for the summer, where they experience a collection of sensory interactions within a network of human and nonhuman actants, the children undergo a transformation. Their bodily experience leaves them forever tied in a network to a piece of land. Further, the emergence of the model of the educational-productive farm at Camp Treetops implicitly critiques the distance marking the relationship between people and food today.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.016 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".