Introduction: Editors' Video Conversation and Conversation Transcript
Bibliographic record
Abstract
Should we introduce ourselves and say who we are?Melissa Poll: Yes, you go first, please. Jenn:Okay.Aanii, boozhoo, nice to see you, Melissa.I'm Jenn Cole and I'm mixed ancestry Algonquin from Kiji Sibi territory, which is a big, big territory of the Ottawa River watershed.My grandparents are, well, I'm not sure exactly where they're from, but at least my grandparents and my greatgrandparents settled around Mattawa and Bissetts Creek.Before that, I think we might've been more mobile.And that's something I'm interested in learning more about . . .our migration routes and our camps here.I would imagine that they had sugar camps and fish camps and stuff like that.So yeah.What else to say?I'm in Michi Saagiig territory.You can hear traffic.Some of those folks might be Michi Saagiig.I don't know.Where I'm situated right now actually is like right between the River Otonabee, which is the river that bubbles like a beating heart, and the Canal Otonabee where she's been shunted off for the Trent Severn lift lock system.So, it's like being held between two aspects of her body in a way.And in Michi Saagiig territory, there's lots of cedar, some cedar over there and yeah, and it smells like a death fungus, and I've never met that relative before.I don't know how I feel about them, but I accidentally grew something in one of my child's toys.That's enough about me for now.Melissa: I'm Melissa Poll (pronounced Paul).I sometimes wish it was "Poll" so we could be Cole and Poll but it's Poll (pronounced Paul).I'm a settler and I'm currently on the land that historically was inhabited by the Kaw, the Osage, and the Pawnee.And now it's home to the Iowa, Kickapoo, Prairie Band Potawatomi, and the Sac and Fox Nations.I was born in the country colonially named Canada and grew up on Treaty 1 territory.I am here now because my partner works at Kansas State University which is a land grant university or what is known in other circles as a "land grab" university.So, it's a university that lives off stolen Indigenous land.I'm negotiating all of that.What it means to be here, what it means to respect this land, to support this land, to live, you know, in a sustainable fashion.You've made me think a lot about the water here.I'm learning about the water.And, as a woman, what does it mean to live in relation to the water?I'm not a keeper of water, but I keep thinking of Jenn Cole is a mixed-ancestry Algonquin Anishinaabe-kwe and Assistant Professor in Gender and Women's Studies at Trent University.She researches Indigenous Performance as it intersects with settler/Indigenous relations and reciprocal relationships to the land, especially at the site of the Kiji Sibi/Ottawa River in Algonquin Territory.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.091 | 0.047 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".