Bibliographic record
Abstract
In the 1970s, the Animation Department of the National Film Board (NFB) of Canada produced Eskimo Legends, a series of animated short films based on Inuit legends and handicrafts. Concurrently, the NFB’s Wolf Koenig initiated an animation workshop in Cape Dorset that resulted in seventeen films by Inuit youths. The social and political contexts of Indigenous handicraft and art are essential for understanding the origins of the animated materials used in these films. Key historical, political, and cultural events and debates establish a context for exploring a set of linkages between economic and sociopolitical institutions that drove the development of Indigenous crafts and cooperatives. Considered alongside NFB documentaries and CBC news broadcasts from the 1960s and 1970s, this chapter demonstrates the relation between these developments and NFB animation studio filmmaking. The focus on Inuit animators’ films compiled in Animation from Cape Dorset recontextualizes, contemporizes and reclaims their culture’s arts, storytelling, and identity.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.027 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".