The 1900s Southwestern Ontario Sand Sucker Panic
Bibliographic record
Abstract
During the early twentieth century, waterbed aggregate mining in the Great Lakes supplied sand and gravel for infrastructure development in the lakes’ shoreline communities. This thesis explores commercial dredging and its impacts at Lake Erie's Pelee Island and Point Pelee, and along the St. Clair River. The mostly transnational activity produced shoreline erosion that threatened agricultural operations, and sand suckers, the dredges that performed the mining, came to symbolize American capitalist exploitation in southwestern Ontario. Disputes arose over the extent of the erosion and affected relations between governments at all levels. Using government and business records, I argue that the Ontario government’s resolution of the crisis by extending a land-based regulatory framework into an already fragmented waterbody regulatory system only exacerbated the situation. Meanwhile, practical efforts to protect shorelines, including scientific study of shoreline processes, sparked a shift in the understanding of freshwater ecology from atomistic to holistic, which helped to end mining in Canada’s western Lake Erie.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".