Bibliographic record
Abstract
On this pilot episode of the show, we introduce listeners to the study environmental history by speaking with Jennifer Bonnell, a graduate student at the University of Toronto who is researching the history of Toronto’s Don River. Jennifer’s research spans the long history of the Don River and its place in the social and environmental history of the city. From nineteenth-century grist mills to Depression-era hobo jungles to Hurricane Hazel in 1954, we find out more about this river valley on Toronto’s eastside. \n \nAlso, we speak with Adam Crymble, the website administrator for the Network in Canadian History & Environment, about web resources for environmental history at niche-canada.org. \n \nWorks Cited: \n \nNash, Roderick. Wilderness and the American Mind. 4th ed. New Haven: Yale University Press, 2001. \nWorster, Donald, ed. The Ends of the Earth: Perspectives on Modern Environmental History. Cambridge: Cambridge University Press, 1988. \nCrosby, Alfred W. “The Past and Present of Environmental History.” American Historical Review 100 (1995): 1177-89. \n \nMusic Credits: \n \n“Revolve” by hisboyelroy \n“Yage Cameras (hbe’s fractured rework)” by hisboyelroy \n \nOther Contributor(s): \n \nJennifer Bonnell \nAdam Crymble
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 | 0.001 | 0.009 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".