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
The following is an account of some current Indigenous artistic trends and responses during the COVID‑19 pandemic. The pandemic has resulted in Indigenous artists adapting social media to maintain COVIDdisrupted knowledge networks about traditional making. In so doing, they have reimagined how to continue links within and beyond their own cultural communities. Art has become both an outlet and a connection to neighbours, friends, and strangers across geographic boundaries. Indigenous textile artists are refashioning their art and materials to maintain and reflect contemporary Indigenous issues and values that emphasize their community and reflect survivance, all while safely at a distance. The artists highlighted and discussed in this article include Dene, Métis, and Inuvialuit women with whom I have worked and who have contributed to my research in the Northwest Territories (NWT), as well as other Indigenous artists from across North America well known for their creative work. Because the coronavirus has all but eliminated non-essential travel to the NWT, the information that is presented has been developed through online exchanges with these women and by observing the artists’ public social media accounts over the course of six months.
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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 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