Risking Attachments in Teaching Child and Youth Care in Twenty-First-Century Settler Colonial, Environmental and Biotechnological Worlds
Bibliographic record
Abstract
As a way to implicate ourselves in the politics of teaching child and youth care, we write as witnesses of the world and, in so doing, we make risky attachments by exploring a politically engaged child and youth care education that does not promote insurance, control or detachment. Rather, in this paper we critically locate child and youth care education within the political and economic realities of today’s world. We grapple with the complexities of educating child and youth care practitioners deeply embedded in neoliberal capitalism and settler colonialism, and explore the conceptual shifts that we are experimenting with in our own teaching practices to engage in human service work that responds with care to individual and family need and suffering by engaging with the very structures that perpetuate harm and violence in our society.
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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 | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.046 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.018 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".