Doing muscling pedagogies with children (and with diaphragms, cold season, physiological knowledges, and fans)
Bibliographic record
Abstract
This article debates how muscles happen in early childhood education. Drawing on post-developmental pedagogies and feminist science studies, this article integrates moments from a pedagogical inquiry with movement in early childhood education to trace how muscles matter as complex and active ethical, political, and pedagogical concerns. After elaborating how muscles are understood in dominant Canadian pedagogical resources, I think with feminist science studies and post-developmental pedagogies to consider how muscles can be thought as an active undertaking. Then, the diaphragm muscle is mobilised to explore how physiological understandings of muscles might raise questions of muscle consequence, ongoingness, and access and activation, which extend into questions of perceptibility, process, and participation. I conclude by discussing how a focus on ‘muscling’ illuminates how pedagogical intentions can make muscles differently perceptible and emphasise the ethical and political complexities of doing muscling in everyday mo(ve)ments in early childhood.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.018 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".