Living with Great Lakes Chemicals: Complementary Strategies and Cross‐Paradigm Reconciliation *
Bibliographic record
Abstract
ABSTRACTThe exposure of Great Lakes populations of fish, wildlife, and humans to persistent toxic substances has resulted in injury, particularly related to reproductive and developmental processes. TheGreat Lakes Water Quality Agreementof 1978 is a binational instrument designed by the governments of the United States and Canada to respond to this injury through the development and implementation of common water quality objectives, cooperative regulatory programs, and other measures. The implementation of theGreat Lakes Water Quality Agreementhas entered a critical phase because the ambiguously drafted purpose is interpreted differently by toxicologists and ecologists with consequent misunderstandings in preparing Remedial Action Plans and Lakewide Management Plans, selecting indicators of restoration, and selecting critical pollutants. With shrinking budgets, agencies cannot afford such misunderstandings when injury to health and property continues unabated.
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 | 0.019 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".