Bibliographic record
Abstract
Despite the minimal attention paid by philosophers to gardening, the activity has a myriad of philosophical implications—aesthetic, ethical, political, and even edible. The same could be said of community food security and struggles for food justice. Two of gardening’s most significant practical benefits are that it generates communal solidarity and provides sustenance for the needy and undernourished during periods of crisis. In the twentieth century, large-scale community gardening in the U.S. and Canada coincided with relief projects during war-time and economic downturn. More recently, small-scale gardening projects have emerged in schools, blighted urban areas, and communities of activists committed to increasing food security and resisting neo-liberal city planning policies. It is therefore surprising that pragmatist philosophers, who typically work at the nexus of theory and practice, have remained relatively silent about the relationship between gardening and food security. If more were to take up the challenge, they would find considerable guidance from several contemporary scholars working in diverse disciplines, from cultural geography to community studies, who explore the topic in a number of non-philosophical, though equally effective and imaginative, ways (e.g., ethnographic and action research). In this paper, I propose a tentative pragmatist model for understanding how gardens make our food system more secure—a model inspired by John Dewey’s writings on school gardening, which I call the pragmatic pyramid.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.054 |
| Scholarly communication | 0.011 | 0.021 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".