Bibliographic record
Abstract
This research examines how children and educators in Mumbai can engage creatively with urban outdoor spaces, revealing how moments of play, care, and improvisation arise even within constrained or uneven contexts. Grounded in multimodal and autoethnographic inquiry informed by place-conscious pedagogy, this study is situated in the first author's experiences as researcher, educator, and activist within the ethical and political landscapes of early childhood education in the city. Through attention to everyday sites such as construction lots, balcony gardens, public monuments, and community food rituals, the paper considers how these often-overlooked environments open possibilities for relational learning, ecological attunement, and justice-oriented practice. While access to outdoor engagement remains unevenly distributed, children's encounters in these complex spaces generate opportunities for agency and creative transformation that challenge narrow binaries between city and nature. Using situated vignettes and multimodal reflection, the paper follows site-specific encounters to trace how everyday urban materials and routines become pedagogical. It concludes by inviting educators, urban practitioners, and policymakers to recognize these improvised ecologies as vital sites for learning, justice, and social transformation. Attending to minor gestures—ephemeral acts of care, risk-taking, and collaboration—the paper reimagines pedagogy as an embodied, situated, and hopeful practice that engages with the layered ecologies of urban life.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.023 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.021 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".