Bibliographic record
Abstract
On this weeks collected, connected conversations (the fourth in our Summer Series shows): reckoning with Reconciliation. But what is 'Reconciliation'? How should it happen? Questions that arise time and time again on our podcast. Questions that are essential to confront for any Settler colonial state like Canadaor at least would be if Canada was serious about moving away from a foundation built upon Indigenous dispossession, disjuncture and dislocation. Featured voices this podcast include (in order of appearance): Anishinaabe comedian, writer, media maker & community activator Ryan McMahon; Ken Williams, assistant professor with the University of Albertas Department of Drama, and Brock Pitawanakwat, Associate Professor of Indigenous Studies at York University; Kim TallBear, associate professor of Native Studies at the University of Alberta and Candis Callison, Associate Professor at UBC's Graduate School of Journalism; and writer/educator Hayden King. CREDITS: Creative Commons music in this episode includes the following works by Kevin MacLeod: "White Lotus," "Thinking Music," "Celebration," "The Way Out," "Private Reflection," "Unanswered Questions," and "Beauty Flow." Learn more about the artist at incompetech.com and filmmusic.io . Our intro music comes via BenevolentBadger.com. This episode was edited and produced by Rick Harp.
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) | 0.057 | 0.002 |
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".