Making Meaning, Creating (in) Community: An International Dialogue on Community Art Education Within Early Childhood Contexts
Bibliographic record
Abstract
This chapter takes the form of an international dialogue between community artist-educators located in the Southwest United States; Johannesburg, South Africa; and Ontario, Canada. The third context is drawn into the exchange through interviews with practitioners at ‘Artists at the Centre.’ These contexts are notable for both unique and shared challenges relating to the rights of children, their families, teachers, and wider communities in which they exist. Through our dialogue, we intertwine vignettes of our contexts and our philosophical alignment with the Reggio Emilia Approach across our diverse settings to illustrate our collective ideas regarding community, pedagogy, materiality and imagination. In this chapter, we consider key transversal themes and metaphors inspired by the Reggio Emilia Approach that carry across our contexts, as well as how and why this philosophical alignment might be significant and inspiring for others working in early childhood community arts settings globally.
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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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.023 | 0.041 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.009 |
| 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".