Bibliographic record
Abstract
In this episode of the Red Man Laughing Podcast we sit down with Christi Belcourt, a Metis visual artist with a deep respect for the traditions and knowledge of her people. The majority of her work explores and celebrates the beauty of the natural world. We really wanted to talk with Christi about her incredible vision behind the "Walking With Our Sisters" moccassin vamp project which took North America by storm this past spring summer. The project is a a massive commemorative art installation comprised of 1,600+ moccasin vamps (tops) created and donated by hundreds of caring and concerned individuals to draw attention to this injustice. The large collaborative art piece will be made available to the public through selected galleries and locations. The work exists as a floor installation made up of beaded vamps arranged in a winding path formation on fabric and includes cedar boughs. Viewers remove their shoes to walk on a path of cloth alongside the vamps. The project is set to open its first exhibition in Edmonton (Oct 2-14) at the Telus Atrium at the University of Alberta and it's booked to exhibit around North America through 2019. Yes. 2019. Six years from now. Connect with the Walking With Our Sisters on Facebook Twitter. As always, thanks for listening. Make sure you subscribe to the podcast to get new episodes send directly to your RSS Reader, Email or iTunes.
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 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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.369 | 0.027 |
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; both teacher heads agree on what is shown here.
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".