Vulnerability, Resistance, and Reciprocity: Recasting Responsibilities of Care in Schooling Through Troubling Animal-Child-Adult Encounters Within a School for Marginalized Children
Bibliographic record
Abstract
This paper troubles enactments of care in schooling and open possibilities of caring otherwise through engaging with a more-than-humanist relational lens of animalchild- adult relationships within a school for marginalized children. I explore two encounters with an animal, child, and myself that challenge my self-perceptions as a caring educational researcher and educator and, within that, what counts as care. By attending to my affective responses within these encounters, I explore how thinking with the concepts of resistance, vulnerability, and intra-action can offer generative possibilities of care in schooling. Through this, possibilities of care grounded in ontological reciprocity and openness emerge to enable a reimagining of how we might care differently with children and animals.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.065 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.003 | 0.006 |
| 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".