Reframing Sympathy for Indigenous Captives in <em>Avatar: The Last Airbender</em>
Bibliographic record
Abstract
The animated series Avatar: The Last Airbender plays as a response to the broader tradition of American captivity narratives, a genre in which one “captive” character or group is emotionally or physically constrained by a “captor.” Captivity narratives have historical roots in American colonial accounts, especially those by white women, of being captured by mostly male, or at least masculine-coded, American Indians. Avatar: The Last Airbender, commonly referred to as ATLA, takes place in a world of four nations: the Water Tribes, Earth Kingdom, Fire Nation, and the Air Nomads, which are based on Inuit, Chinese, Japanese, and Tibetan cultures respectively. It details the journey of a young nomad named Aang and his friends to end a century-long war with the technologically advanced Fire Nation. As the series progresses, it most noticeably incorporates the captor-captive dynamic into its protagonists Aang, Katara, and Sokka, who are fleeing and, at times, captured by Prince Zuko of the Fire Nation. It is worth noting that Zuko fills both roles, hoping to convince his father to reverse his banishment from the Fire Nation by trying to capture Aang
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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 | 0.002 | 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 | 0.001 | 0.000 |
| 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".