Entretien avec la cinéaste kanienkéhà:ka (mohawk), Sonia Bonspille Boileau
Bibliographic record
Abstract
Résumé : Dans cet entretien, la cinéaste kanienkéhà:ka (mohawk) et québécoise Sonia Bonspille Boileau retrace, avec humilité et intensité, les origines et les jalons de son parcours dans le cinéma, jusqu’à la sortie de son dernier film, Rustic Oracle (2019). Marqués par la pluralité linguistique et culturelle, ses films sont le reflet de questionnements profonds, à la fois politiques et sociaux, mais également plus personnels et intimes, liés à son identité autochtone et québécoise. Sonia Bonspille Boileau met en lumière le pouvoir de la production cinématographique, comme support pour raconter des histoires depuis le point de vue des autochtones eux-mêmes dans un contexte de marginalisation de leurs récits, mais également pour éduquer et sensibiliser le public aux problèmes complexes que doivent affronter les peuples des Premières Nations au Canada.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 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".