Bibliographic record
Abstract
Distributed by Collective Eye Films, 1315 SE 20th Ave. #3, Portland OR 97214; 971-236-2056Produced by Caroline Cox, Tiffany Ayalik, and Kylik Kisoun TaylorDirected by Tiffany Ayalik and Kylik Kisoun Taylor2023, Streaming, 44 mins In an isolated location, north of the Arctic Circle in Canada’s Beaufort Delta Region, one man is attempting to follow in his Inuvialuit ancestors' footsteps. Kylik Kisoun Taylor returned to his cultural homeland at 16 and after reconnecting with his culture, he is now determined to see it thrive once again. In an environment seen far too often, indigenous individuals are facing a prolonged cultural shift. Land taken away, cheap and insufficient housing erected, and the idea of adapting or getting left behind. Kylik witnesses his community suffer in this way and has decided to get back to living off the land. He and his family moved to a bush camp; Teepee shelter, five dollars a day and no paying for utilities or property taxes: they make their own heat, catch their own food, and retrieve their own water. This was his solution, not only for housing crises and food insecurity, but a way to get back to his roots. To do this for his people, he is creating a self-sufficient, eco-friendly village. This community is built with the labor of indigenous and non-indigenous alike. As Kylik notes, it's not about indigenous and nonindigenous, it is about a need. His lofty goals and intentions of this village are to build a community for a continuous transfer of knowledge. The elders see their way of life slipping away, and this effort is to help ensure that knowledge is retained for the next generations. According to Kylik, the best way to learn about one’s culture is not in a classroom or through books, but by living it- experiencing it. This is why he has his own children involved in the making of the village. Instilling a work ethic and a different kind of education. Immersing themselves in the ways of their ancestors, learning to be self-sufficient, creating self-confidence, and learning the native language, in hopes of teaching others the same. Throughout the film, we are with Kylik and his people as they catch their food, forage the natural resources for building supplies, build a sod house, etc. A poignant quote from Kylik makes a statement, “We can’t ask the system that oppresses us, to heal us. We need to take action.” To Kylik and his community, this is their way of acting, showing what can be done, and what has always been done. There are no special lighting or formal interviews in this film- that is not what is needed. It is a raw experience, and a home footage-type videography was necessary for allowing the audience to see glimpses of the hard work and heart of this endeavor. There are some aerial shots of the location, and a traditional story told in fragments in the native language throughout the film. The native language is used occasionally; the majority is in English with English closed captions when the native language is spoken. It would have been helpful for the film to have spanned a longer period to see what kind of progress was made in the village, as well as get to know Kylik's background for better context, as this film only gives a glimpse of the beginnings. Despite this minor critique, I would recommend this film for viewing on various educational topics such as indigenous studies, sustainable living, or anthropology.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.922 | 0.821 |
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".