Shifting temporal frames in children’s common worlds in the Anthropocene
Bibliographic record
Abstract
In this article, the authors bring the new temporal theorizations of the Anthropocene into the pedagogical realm by grappling with the shifting time relationships the Anthropocene makes one aware of within the context of children’s common worlds. Using an actively inclusive more-than-human common worlds framework that reassembles worlds by countering the divisive distinction that is often drawn between sociocultural contexts (mostly dominated by clock time) and natural environments, the authors resist the epistemological division between society and/or culture as distinct from nature that underpins post-Enlightenment western thinking in early childhood pedagogies. The authors’ common world pedagogies are primarily interested in the real-life worlds that 21st-century children inherit, inhabit and share with human and more-than-human others. They acknowledge that these lifeworlds are imperfect and complex, and that they come with multiple legacies. In this article, the authors focus on the temporal legacies young children inherit and inhabit in their common worlds.
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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.046 |
| Scholarly communication | 0.010 | 0.014 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".