Horror and Representation: Violence in the Construction of Postindian Literary Identities
Bibliographic record
Abstract
Across the contemporary literary and cinematic marketplace there is an increasing prevalence of “Indigenous fictions”, particularly those within or adjacent to the horror genre. Historically, the representations of Indigeneity across the forms of fiction in the United States and Canada have been limited to that of colonial constructions meant to uphold European land claims and cultural dominance. These images have been proliferated through commercially successful and culturally significant novels, paintings, and films, from the early captivity narratives of the 17th century and the romantic Indian epics of the 19th century to the 20th century’s examples of the western and horror genres. The variety of ideologies and opinions informed by the stereotypes and invalidations of the “Indian” representations across the centuries of these works are still prominent in 21st century western culture. Through analysis of the violence depicted in late 20th century horror literature and film, especially the influential works of Stephen King, that rely upon an Indigenous presence or “Indian” trope, the use of violence in Indigenous horror can be understood comparatively as a distinct movement against the colonial notions of the Indian into an enactment of scholar Gerald Vizenor’s descriptions of Postindian manifestation and cultural survivance. Through the texts of Eden Robinson and Stephen Graham Jones and the films of Jeff Barnaby, these depictions of Postindian violence are framed as either retributive, for justice, or sadistic, for pleasure, inter-narratively and contribute to the intra-narrative resistance to colonial representations. Using these historically contextualized acts of violence, Indigenous horror imagines a retribution against systems of dominance and a futurity through survivance, countering the persistent associations plaguing Indigenous identity.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| 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".