A posthumanist critical multilogue: storytelling as bicultural teaching and learning in early childhood education in Aotearoa New Zealand
Bibliographic record
Abstract
A posthumanist critical multilogue may be understood as a many-voiced conversation where the concept of voice encompasses multiple ways of expressing in networks of enmeshed relations among humans and non-humans. A multilogue is critical when power relations are mapped, and posthumanist when contributions to multilogue conversations emerge from relations among human and non-human agencies. During research into how bicultural teaching and learning is lived in one early childhood education setting, teachers shared accounts of children engaging playfully with the Māori pūrākau/story of Hatupatu and Kurangaituku (Birdwoman). A posthumanist critical multilogue explores what might be produced in critical, curious, and creative entanglements of Māori and posthumanist concepts and theories, policies and practices of bicultural teaching and learning, and human and non-human bodies. Through transversal processes wandering from children to teachers, to communities, landscapes, and histories, creative possibilities are glimpsed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".