Cosmopolitical technologies and the demarcation of screen space at Cine Kurumin
Bibliographic record
Abstract
“Our fight today is to demarcate our space on the screen, when we can no longer demarcate our lands.” I cite Ailton Krenak, one of Brazil’s most influential Indigenous leaders, at his keynote address at the opening of the Cine Kurumin film festival in Salvador, Brazil, to engage with cinematic languages on the margins of dominant media. I experience the festival as an active immersion into imaginaries that forward the process of “decoloniality” (Mignolo). As Sueli Maxakali articulated during a roundtable of Indigenous women filmmakers, the Shaman must dream in order to choose the name of the films made in her community. The production processes of these films were conceived outside the structures of any capitalist market economy; rather, the festival offered an alternate space to take a deliberate leap into expressive audio and oral visual experiences, cultures, languages, politics, and imaginaries resisting ongoing violence entrenched in capital and coloniality. Through a discussion of the festival curation, roundtable discussion, and through a film analysis, I elaborate how the sacred, spiritual, and social are constituent elements of cosmopolitical visions. I argue that film and video as cosmopolitical technologies are unsettling established conceptions of nature and culture, of politics and representation both on and off-screen. Witnessing the Cine Kurumin festival – the totality of the experience becomes an immersive and transformative space for decolonizing the imaginary while disturbing hegemonic political, conceptual, and representational agendas.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".