Bibliographic record
Abstract
This paper examines the pedagogical and decolonial possibilities of teaching genre cinema through non-Western perspectives. As a sessional instructor teaching across multiple institutions in Vancouver, Canada, I elaborate on how I have taught genre cinema as a decolonial and pedagogical project. Through course design that recognises the way that the evolution of film theory in general, and genre theory in particular, has been encoded in Euro-Western-centrism and analysis, my teaching practice brings into conversation other knowledges and approaches to film-making and film studies that have often been excluded from film studies pedagogy. My pedagogical project is to decolonise film studies, including genre theory, as exemplified in such courses as: Re-Visioning Genre Theory, a fourth-year course at Emily Carr University of Art and Design; Genre Cinema: From Classical Hollywood to Global Contemporary, a third-year course at the University of British Columbia; and Refiguring Futurisms, a fourth-year film seminar at the University of British Columbia. Some of the questions explored in my research and teaching practice consider how genre cinema is adopted and subverted in contemporary non-Western films. In this paper, I use Latin American decolonial theory to focus on Brazilian cinema as an exemplar of non-Western and decolonial approaches to genre theory.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".