Healthy Garden Plots? Harvesting Stories of Social Connectedness from Community Gardens
Bibliographic record
Abstract
Because of their profound effects on health and wellbeing, particularly their sense of social connectedness, community garden stories warrant the close attention of public health professionals. Efforts to tell these stories, if and when told, often smooth over, intentionally ignore or fail to appreciate vital subplots of social experiences that deserve our collective consideration. Put simply, this article advocates for public health to pay greater attention to the subplots-those secondary strands of the main plotline-of community garden stories. To demonstrate, the plot and subplots associated with the Queen Anne Memorial Garden, a community garden located in a diverse urban neighborhood in a Midwestern American city, are examined. The resultant narrative provides a more complex understanding of the social relationships that formed in and around the community garden under examination. Ultimately, the article shows how sublots weave together alternative interpretations of a story based on different constituents' experiences silenced by main plotlines and encourage audiences to critically reflect upon their own behaviours.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".