Camara de combate. El festival de cine Latinoamericano como reflexionaccion
Bibliographic record
Abstract
Cámara de Combate is an artwork composed of series of banners inspired by revolutionary cultural movements originated in Latin America, namely, Third Cinema and Latin American conceptualism. I graphically rendered citations onto the robust material of banners, all taken from Third Cinema filmmakers, who first emerged in 1960s in an era of political upheaval in Latin America. They used the camera as a political weapon to engage revolutionary social, cultural, and political ideas in the region and to incite political consciousness and action. I made a direct correlation with Latin America’s contemporary political context as it relates to American, Canadian, and European interventionism and oppressive regimes, with Latin American Film Festivals situated outside of Latin America. Cámara de Combate, was exhibited in the patio of Vancouver’s Cinematheque as part of the seventeenth edition of the Vancouver Latin American Film Festival in 2019. Some of the questions explored within this artistic inquiry are, what is the role of artists living in the diaspora vis-à-vis Latin American political consciousness? What is the role of Latin American film festivals outside of Latin America in relation to audience and community participants? This text offers a reflection on my artwork and its line of investigation within a diaspora film festival space. I explore some of the philosophical and theoretical currents and political contexts that influenced this work and how it was received within the festival space.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".