Recentering Indigenous Foodways in North America
Bibliographic record
Abstract
Food is the foundation for life. Using the past to inform the present, this webinar will explore Indigenous foodways and the politics of food sovereignty across deep time in North America.Featuring exceptional new scholarship from the mixed ancestry Cree researcher, educator and writer Dr Tabitha Robin (Martens) and Professor Joy Porter, Project Lead of the Treatied Spaces Research Cluster at the University of Hull. Join this presentation to explore how food has always determined key aspects of settler/indigenous relationships and why this remains of critical significance today.As part of this talk you are also invited to participate in a live Q&A session with the speakers.Professor Joy Porter is an interdisciplinary researcher and teacher of indigenous history in relation to the environment, war, modernity, literature and cultures.Dr Tabitha Robin (Martens) is a mixed ancestry Cree researcher, educator and writer. She is a PhD student at the University of Manitoba, studying Indigenous Food Sovereignty in the Faculty of Social Work and the Department of Native Studies.Supported by the Leverhulme Trust.Date: 29 June 2021Time: 19:00–20:30Free to access online – Book your place
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.000 |
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".