Stories for living on a damaged planet: Environmental education in a preschool classroom
Bibliographic record
Abstract
This article examines children’s encounters with dead and dying bumble bees in their everyday entangled lives. Within the context of an early childhood classroom located in suburban British Columbia, Canada, the article stories situated and emergent bee–child worldings to illustrate possibilities for learning with other species in anthropogenically damaged worlds. I pay attention to some of the ways in which children’s and educators’ practices have shifted away from encountering bees predominantly as objects of scientific knowledge towards more relational, embodied, and affective immersion in the lives and deaths of bumble bees. Situating these practices within current bumble bee vulnerabilities, I consider how children’s and educators’ inquiries might be viewed as pedagogies that matter for learning to live less destructively with others in current times of anthropogenic change.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".