Touching Place in Childhood Studies: Situated Encounters with a Community Garden
Bibliographic record
Abstract
I situate this chapter alongside recent work in early childhood studies that has used more-than-human 1 epistemologies and ontologies to consider nature pedagogies in relation to Indigenous knowledges, human/more-than-human relationalities, natureculture entanglements, and anticolonial possibilities (Duhn, 2012; Pacini-Ketchabaw, 2013; Ritchie, 2012; Somerville, 2006; Taylor, 2013). Inspired by this work, and its commitment to resisting simplistic and romantic couplings of children and nature, I seek to notice the practices; sociomaterialities; and colonial histories 2 and relations that come together to enact the production of a community garden that I visit with children and early childhood educators in the childcare centers where my research 3 is situated. My specific localities in the Greater Vancouver area are unceded Musqueam, Squamish, Stó;:lo, and Tsleil-Waututh First Nations territories (Musqueam Band, 2011; Squamish Nation, 2008; Stó;:lo Nation, 2009; Tsleil-Waututh Nation, 2013). These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.019 | 0.035 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".