Nature's Past Episode 037: Histories of Canadian Environmental Issues, Part VII – Agri-Food Systems, II
Bibliographic record
Abstract
The history of Canadian food and agriculture is an enormous topic with both a global and deeply personal scope. All humans require food to live and agricultural products become food for our consumption, demonstrating the profound interrelatedness of food and agriculture. Beyond sheer survival, food serves social and cultural purposes for all people, from planting and harvesting, through preparation, and ultimately with consumption. Communities and families coalesce around these activities and have done so for all of human existence. Food is a source of pleasure and for many people is intricately linked with spirituality. Examining the environmental history of food and agriculture in Canada reveals the ways in which our complex relationships with nature and each other inform this most intimate aspect of our daily lives. \n \nOn this second part of our look at agri-food systems in Canadian history, we discuss Canadian food history and we speak with the editors and authors of a new anthology from University of Toronto Press called, Edible Histories, Cultural Politics: Towards a Canadian Food History. This round table interview features Franca Iacovetta, Valerie Korinek, Marlene Epp, James Murton, and Ian Mosby. \n \nBook cover for Edible Histories, Cultural Politics: Towards a Canadian Food History \nPlease be sure to take a moment to fill out a short listener survey here.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.040 | 0.008 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.026 | 0.001 |
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".