Toward Common Worlds Pedagogies in Early Childhood Education: A Response to the Challenges of the Anthropocene
Bibliographic record
Abstract
In response to the realities of living with global ecological challenges and climate-related risks in the Anthropocene, I draw on the arts of slowing down, noticing, and paying attention to worldly realities in the work of early childhood education as a response to this geological time. Through an inquiry with charcoal and cardboard as part of a common worlding ethnographical project in a childcare centre in London, Ontario, I questioned what it might look like to change the child-centered/humancentric position so prevalent in early childhood education to a more inclusive perspective that includes more-than-humans. As we made this shift I wondered, too, what it might look like to learn with, rather than about, our world. Through my imperfect, experimental path toward a pedagogy of indeterminacy that attunes to onto-epistemologies, I offer a glimpse into how early childhood education might trouble its entrenched humancentric approach.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.028 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.056 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.003 | 0.021 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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".