Diffracting the north : contemporary Latinx Canadian experiences and practices in film, new media, and visual arts
Bibliographic record
Abstract
Diffracting the North is the first book to collect and share the experiences and material realities of Latinx Canadian creators of film, media, and visual arts. Bringing together scholars, filmmakers, curators, and artists from a range of Latin American backgrounds, this publication is a forthright and practitioner-driven reflection on the circumstances of producing and disseminating work in a country of predominantly anglophone and francophone environments. Contributors to the volume explore topics including how Latinx Canadian identity is constructed, negotiated, and expressed, as well as the networks and solidarities that shape Latinx Canadian experiences. These connections include intergenerational mentorships, cross-cultural alliances, and collaborations with Indigenous and other marginalized communities within racialized and gendered frameworks. This volume’s contributions also demonstrate strategies of allyship, from learning with Indigenous artists to fostering hemispheric solidarity across feminist and migrant collectives. Moreover, this book highlights how Latinx Canadian art and film productions and experiences both challenge and enrich Canada’s cultural landscape by intervening in dominant creative, academic, and curatorial practices. It recovers overlooked cultural histories through a series of analytical essays, interviews with artists and curators, and firsthand accounts of artistic practices, all with a focus on cultural efforts to build community. Amplifying the voices of Latinx Canadians and their communities and filling a critical gap in scholarship, Diffracting the North showcases the significance of Latin American diasporas within Canadian cultural contexts.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.075 | 0.026 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".