Western Monkeys, Eastern Coyotes: Trickster Strategies in Resistance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This MA thesis aims to explore how contemporary Native writers and diasporic Chinese American writers employ humor in their works through the archetypical figure of the Trickster, to articulate their resistance to racism and cultural stereotyping. By examining a selection of Coyote stories by Thomas King, a novel by Gerald Vizenor and a novel by Maxine Hong Kingston, and the ways they adapt their mythical Tricksters reinscribing them in a contemporary setting, and the way these writers juggle with words and meanings, I hope to further reveal their intentions to resist and contest hegemonic dominance. This thesis is divided into three main sections. First, the concept of Trickster as a mythological and universal archetype; second, the different deployments of this figure in contemporary Native literature, and third how it is treated in Chinese American literatures. My thesis is that literary tricksters articulate the anxieties Native peoples and Chinese migrant communities experience in the United States and Canada, calling for them to rewrite their history and reject the assigned (mis)representation through humor.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it