Bibliographic record
Abstract
1. Introduction: Education and the politics of becoming David R. Cole and Diana Masny 2. Travelling and sticky affects: Exploring teens and sexualized cyberbullying through a Butlerian-Deleuzian-Guattarian lens Jette Kofoed and Jessica Ringrose 3. Becoming-teacher: Encounters with the Other in teacher education Stephen Marble 4. Latino families becoming-literate in Australia: Deleuze, literacy and the politics of immigration David R. Cole 5. Living, learning, loving: Constructing a new ethics of integration in education Inna Semetsky 6. 'It's all about relationships': Hesitation, friendship and pedagogical assemblage Sam Seller 7. Uprooting music education pedagogies and curricula: Becoming-musician and the Deleuzian refrain Elizabeth Gould 8. Policy prolepsis in education: Encounters, becomings, and phantasms P. Taylor Webb and Kalervo N. Gulson 9. Grotesque gestures or sensuous signs? Rethinking notions of apprenticeship in early childhood education Linda Knight 10. Multiple Literacies Theory: Discourse, sensation, resonance and becoming Diana Masny 11. 'We don't believe media anymore': Mapping critical literacies in an adult immigrant language classroom Monica Waterhouse 12. Bon mots for bad thoughts Jason J. Wallin
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".