Tilllutarniit: History, Land and Resilience in Inuit Film and Video
Bibliographic record
Abstract
Abstract In early August 2016, Inuit artists Stephen Agluvak Puskas and Isabella-Rose Weetaluktuk co-curated an original format film festival in Montreal, produced in partnership with Concordia University, the FOFA Gallery and Terres en vues festival. For three evenings in a row, the FOFA Gallery’s outdoor courtyard, which opens onto one of the city’s busiest downtown streets, offered up Inuit ‘country’ food (traditional cuisine like raw seal meat and arctic char), music, Inuit games, and film and video. Each evening featured a series of short and feature films directed by or produced in serious collaboration with Inuit, arranged under three distinct themes; Unikausiit (history), Nuna (land) and Pimmariktuq (resilience). This interview is a conversation between Inuk art historian Heather Igloliorte and Puskas and Weetaluktuk, in which the co-curators reflect on the experience of creating the film festival.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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".