Nature as Part of Community: Rethinking the Primary Grades Neighborhood Study
Bibliographic record
Abstract
The goal of this article is to examine how schooling reinforces a hierarchized separation of culture from nature by ignoring how human communities are embedded within ecological systems. The article specifically looks at how this separation shows up in elementary social studies curriculum through the example of the quintessential primary grades neighborhood study. In the first part of the article, I build upon theories from ecojustice education, Wild Pedagogies, critical pedagogy of place and the work of other eco-thinkers to suggest that something as simple as a first grade neighborhood unit can either encourage a cultural and ecological shift toward healing modern culture’s relationship with the planet or reinforce human’s alienation from the rest of the living world. In the second part of the article, I offer practical pathways for integrating humans and the more-than-human world that center four different relationships within the neighborhood study: spatial/geographic, educational/pedagogical, critical/political, and temporal.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.026 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".