Using social domain theory to seek critical consciousness with young children
Bibliographic record
Abstract
The question of ‘developmental appropriateness’ in education can be both empowering and inhibiting. When are students ‘ready’ to talk about social injustices and systemic inequalities? How might educators introduce social inequities using developmental findings about reasoning? This article presents social domain theory as a lens through which educators can approach critical consciousness education with young children. An overview of Freire’s critical consciousness construct is presented, including educational interventions, methods, and approaches that support critical consciousness. An overview of social domain theory is also presented. Social domain theory is a developmental theory of sociomoral reasoning that describes three domains of social knowledge that develop independently, and get applied/coordinated/prioritized differently in context by individuals. This theory, and the research stemming from it, has shown that there are developmental transition points during which children come to view their previous logic as inadequate, and are likely to shift their understandings of moral, conventional, and personal issues. A parallel is drawn between these transition points and the process of wrestling with and overturning ‘contradictions’ in critical consciousness education. Contradictions are theorized as dehumanizing power dynamics that show up in students’ everyday circumstances. This article provides tables outlining example contradictions for young children, key domain–related reasoning shifts for young children, and examples for how to create lesson plans that take these two factors into account. Finally, we propose a method of facilitating self-assessment of critical consciousness with young children. Self-reflection questions are provided for teachers and students.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".