“Here Comes a Thought”: Steven Universe as Social Emotional Curriculum
Bibliographic record
Abstract
Abstract The emphasis on social emotional learning as a focus in schools has led to the development of new materials for curriculum in classrooms for teaching social emotional content and competencies. This paper conceptualizes the use of narrative television and animation, specifically, the cartoons Steven Universe and Steven Universe Future as powerful pedagogical tools for engaging social emotional learning in classrooms. The purpose of this paper is to demonstrate the efficacy of these cartoons as tools for classroom use given their emphasis on inclusivity, diversity, and their popularity with young people today. Utilizing the Collaborative for Academic, Social, and Emotional Learning Competencies as a framework, the paper highlights selected episodes of the shows, and demonstrates ways the shows can be used to teach these competencies. As teachers continue to encounter ever-diversifying student populations, the use of media such as Steven Universe can help support inclusive classroom environments that engage the emotional lives and experiences of young people today.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".