“Act in Your Location, Think with the World”: Constructing Audience “Afterlives” at Three North American-Based African Film Festivals
Bibliographic record
Abstract
Abstract This chapter focuses on three African film festivals/programs located in Canada and Mexico. Beginning with an examination of the longest-running African film festival in Canada—Vues d’Afrique—in Montreal, the chapter also explores a relatively new festival in Winnipeg—African Movie Festival in Manitoba, and finally a very recent initiative in Mexico to bring African films to Afro-Mexican communities. The chapter explores selected “afterlife” events of the festivals that are organized to build year-round sustained audience bases and community impact through Bill Reid’s notion of artworks (festivals) as “lives” and the community dialogues and events surrounding the works as “afterlives”. We envision festival afterlives, not in the sense of negative residue of colonialism or slavery, nor as legacy activity, but more as a relationship between filmmakers, audiences, and films, that is paramount to building communities and social networks off-screen in local communities and throughout the diaspora.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.009 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".