EP#5 (S.2) Guest Co-Host Wab Kinew With Special Guests Chief Isadore Day, Tanya Kappo Dr. Pam Palmater
Bibliographic record
Abstract
In this episode of Red Man Laughing I have a guest Co-Host for the very first time - I'm joined by Mr. Wab Kinew. Wab and I have been talking about creating/starting a new podcast together and we (along with our dear friend Lorenzo) have kicked around the idea for months. Last night, when news from Ottawa started to roll in about the movement the Chiefs at the AFN Special Assembly made - we thought this would be the perfect chance to put our heads together and try something new. Today on the show we feature THREE incredible leaders and we chat with them about the INCREDIBLE movement we see happening in Indian Country today here in Canada. Featured on the show this week we have Chief Isadore Day (Serpent River First Nation), Tanya Kappo (one of the leaders creators behind the #IdleNoMore community movement) Dr. Pam Palmater (Mi'kmaq Lawyer, Ryerson University). INTERVIEW TIMES Chief Isadore Day Interview begins at 42.00 Ryan McMahon Breaking Down The Proposed 24 Hour Telethon Idea 1hr 10mins Tanya Kappo Interview begins at 1hr 15mins Dr. Pam Palmater Interview begins at 1hr 33mins 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.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.175 | 0.031 |
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".