Practicing Palimpsest: Layering Stories and Disrupting Dominant Western Narratives in Early Childhood Education
Bibliographic record
Abstract
Interpreting and contextualizing the meanings of spoken, transcribed, visual and embodied languages, we explore how the life stories of immigrant educators evoke socio-cultural and diverse imaginaries. We incorporate the Greek practice of palimpsest - a layering of stories, voices, fragments, and traces - to understand forms of active becomings which provide possibilities for dissonance and transformation and treat the self as relational and inherently multiple. Critically reflecting on this stratum of narratives and cultural understandings, we draw on the insights of several theoreticians and scholars to consider how the language of immigration, trauma, and displacement emerge in educator’s thinking about the curriculum they are given. In transcribing stories - the participants and our own - we heard “layered voices” (Aoki, 2005) that pointed us to different understandings about the immigrant experience, the connections between the self and other and what it means for immigrant educators and students to live together in ECE settings. Keywords: hermeneutics; early childhood education; narrative; identity; diversity; language
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.035 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.016 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".