Land use and land use practices in the Great Lakes Basin: Report of the International Reference Group on Great Lakes Pollution from Land Use Activities, Joint Summary Report - Task B, United States and Canada
Bibliographic record
Abstract
This report presents a summary of an Inventory of Land Use and Land Use Practices in the Great Lakes Basin, including trends and projections to 1980, and to 2020 where appropriate. It contains the important features of the Canadian and United States reports on land inventory prepared by the International Reference Group on Great Lakes Pollution from Land Use Activities. Land uses are broken down for each Lake Basin as follows: area (land and water), residential, commercial - industrial, cropland pasture forest, outdoor recreation, wetlands barren, and water (inland). In addition, eight specialized land use categories are discusses and units quantified: mine tailings disposal areas, liquid and solid waste disposal areas, dredge spoil disposal, lakeshore and riverbank erosion, intensive livestock operations, high density non-sewered areas, and recreational lands. Annual materials usages are presented for: agricultural pesticides, commercial fertilizers, agricultural manures, lime and road salt.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".