Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Split Tooth (2018), Tanya Tagaq (Inuit) crafts the story of a young Indigenous woman who understands and relates to other-than-human elements like land, ice, and the northern lights in ways that depart radically from the teachings of Western epistemologies. Tagaq’s acclaimed 2022 album Tongues is in many ways Split Tooth’s companion piece, borrowing lyrics from the text and using them in songs that contest the Canadian settler project. For instance, the album’s closing track, “Colonizer” attacks the Canadian residential school system while highlighting audience complicity in the projects of their settler states. In both Split Tooth and the music video for “Colonizer” (the “Video”), Tagaq opposes the Canadian settler project by foregrounding the other-than-human. In particular, the land and the northern lights function in both works to transform each into instances of what Daniel Heath Justice (Cherokee Nation) calls Indigenous wonderworks. I argue that through the common elements of land and northern lights, the Text and the Video speak with one another across borders of artistic expression to become what I call a trans-media Indigenous wonderwork, in which the Video’s pointedly decolonial music, lyrics, and images underscore and bolster the text’s more indirect decolonial message. Combined, Split Tooth and the Video act as a novel form of cultural production grounded in Indigenous ways of knowing, working together to call out settler audiences for their complicity in the settler project—past, present, and future.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it