Tunirrusiangit: Their Gifts
Bibliographic record
Abstract
Tunnirusiangit: Kenojuak Ashevak + Timotee Pitsiulak was a collaborative project in 2017-2018, led by four Inuit artists and curators, Laakkuluk Williamson Bathory, Koomuatuk (Kuzy) Curley, Taqralik Partridge, Jocelyn Piirainen, in partnership with Dr. Anna Hudson (Mobilizing Inuit Cultural Heritage (MICH) at York University) and Georgiana Uhlyarik, Curator, Art Gallery of Ontario. Designed to generate exchange between Inuit and non-Inuit about the role of art, beauty, and culture in shaping our relationships to the land and to each other, it celebrated the achievements of Kenojuak Ashevak and Timotee Pitsiulak, two Inuit artists who challenged the parameters of tradition while consistently articulated a compelling vision of the Inuit worldview. The team reflected on the project in a series of conversations in October 2020. This is an edited version of their discussions.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.036 | 0.006 |
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".