Cultural Appropriation: The Chant of Jimmie Blacksmith , Black Robe and Dance Me Outside
Bibliographic record
Abstract
This chapter focuses on literary and cinematic texts in which Indigenous peoples have been appropriated by non-Indigenous authors and filmmakers: The Chant of Jimmie Blacksmith (1978), written by Australian author Thomas Keneally and adapted by Australian director Fred Schepisi; Black Robe (1991), written by Northern Irish-Canadian author Brian Moore (1984) and adapted by Australian director Bruce Beresford; and Dance Me Outside (1994), stories written by Canadian author W.P. Kinsella and adapted by Canadian director Bruce McDonald. The chapter probes the ways in which settler-colonial culture borrows from Indigenous cultures. These case studies were produced either prior to or in the midst of debates surrounding the legitimacy of non-Indigenous representations of Indigenous culture in the late 1980s and early 1990s. The chapter also discusses multiple adaptations through historical antecedents to the novels (Keneally’s novel’s basis in the historical figure of Jimmy Governor, a mixed-race man who, along with his brother, murdered several white people in early twentieth-century Australia; Black Robe’s use of the Jesuit writings in New France) and the continuation of Dance Me Outside’s narrative and characters in Nick Craine’s graphic-novel version of the screenplay ultimately used to shoot the film (1994) and CBC television’s The Rez (1995-1997).
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.015 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".