Episode 7: Sharing Personal Narratives, Re-Shaping Societal Narratives
Bibliographic record
Abstract
Angie Carter is a writer, organizer, and sociologist whose work focuses on rural communities, agriculture, and movements for ecological and food justice. Originally from the land between two rivers, or what is now known as Iowa, she continues to remain engaged in the movements for ecological justice in the heart of what is now the commodified agricultural system. She currently lives in a very different watershed today – Lake Superior – where she works at Michigan Technological University as an associate professor in the Department of Social Sciences on Michigan’s Keweenaw Peninsula. She also serves as co-president of the Women, Food and Agriculture board and on the Western Upper Peninsula’s Food Systems Collaborative’s planning team. Angie Carter has lived the majority of her life and continues to find much inspiration for her scholarly and creative work from the lands and waters known today as Iowa, taken through theft and false treaties by the US federal government from the Ioway, Meskwaki, and Sauk nations in 1838 and 1842. These lands and waters provided historic and seasonal homelands and hunting grounds for the Oceti Sakowin, Winnebago, Potawatomi, Ponca, Ottawa peoples, among others. Today, the Sac and Fox Tribe of the Mississippi in Iowa, or the Meskwaki Nation, own a settlement in central Iowa, the Omaha and Winnebago nations own lands in western Iowa and, in 2022, 7 acres in Johnson County, IA became the first lands formerly returned to the Iowa Tribe of Kansas and Nebraska. Today, Angie lives along Lake Superior, on the ancestral and contemporary homelands of the Anishinaabe, ceded to the US through the Treaty of La Pointe in 1842 and now known as the western part of Michigan’s Upper Peninsula and northern Wisconsin. She is indebted to those who have cared for, since time immemorial, the lands and waters she knows as her childhood and adulthood homes. She works to unlearn colonial relations within human and more-than-human communities through her professional and personal lives. Visit The EcoTheatre Lab's website at ecotheatrelab.com for links to Angie's work and how to connect with her, the transcript for this episode, and more information about the podcast, production team, and The EcoTheatre Lab.
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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 | 0.013 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.031 | 0.025 |
| Scholarly communication | 0.020 | 0.022 |
| Open science | 0.003 | 0.026 |
| Research integrity | 0.004 | 0.014 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".