First Nations People Reclaiming Their Heritage
Bibliographic record
Abstract
My full name is Pawatsqwachitl. I come from Ahousaht on the west coast of Vancouver Island." Following the indigenous custom, Pawa Haiyupis introduced herself, her people and territory. She thanked the Coast Salish people and territory where we were videoing (Victoria, B.C.) This First Nations woman works with youth, elders and spiritual leaders to practice their culture and "activate their blood memories," as one elder calls it. She says: "We're going on medicine walks, we're doing sweats in safe spaces, and we're learning about our creation stories and sacred sites in our culture." She gives a glimpse of a different way of relating to one another and the Earth from a culture that has been sustainable for many thousands of years. Episode 272. [hahopa.com] Thanks for being in the Peak Moment viewer community. Subscribe to email news and donate at http://www.peakmoment.tv. Visit Peak Moment on: Facebook: http://www.facebook.com/pages/Peak-Moment-TV/113511867700 GooglePlus: https://plus.google.com/+peakmoment/posts Janaia on Facebook: http://www.facebook.com/janaia.donaldson Twitter: https://twitter.com/PeakMomentTV (handle: @peakmomenttv) iTunes: http://itunes.apple.com/us/podcast/peak-moment-tv/id413896747
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.258 | 0.009 |
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".