Moving Asian American History from the Margins to the Middle in Elementary Social Studies Classrooms
Bibliographic record
Abstract
This article describes how three Asian American elementary teachers in Texas reflected on the absence of Asian American histories in their own educational experiences, which later inspired them to teach Asian American histories in their classrooms. The teachers’ lessons about Asian American history required them to first (re)define the term Asian American with their students, and the teachers also (re)defined what it meant to be American. Ultimately, they promoted cultural citizenship, which is more inclusive and critical than traditional forms of citizenship that are defined by individual acts like voting and following rules. Cultural citizenship promotes difference as a resource; emphasizes the need to respect and humanize others; includes the voices, experiences, and perspectives of People of Color; and emphasizes human rights and agency. Asian American children’s literature was an essential tool in disrupting exclusionary histories and notions of citizenship as equal to whiteness, and the teachers' work demonstrates how educators can move Asian Americans from the margins to the middle of social studies instruction to support better teaching of U.S. history and democracy.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".