Long-term ecosystem studies in the Bay of Quinte, Lake Ontario, 1972–2008: A prospectus
Bibliographic record
Abstract
Project Quinte can best be described as a long-term ecosystem study of the Bay of Quinte, Lake Ontario. Starting in 1972, Project Quinte was initially established to study the whole ecosystem effects of controlling phosphorus loadings in a eutrophic ecosystem. Since then, the Bay of Quinte ecosystem has experienced reduced nutrient loads, climatic events that changed the dominance of fish species, multiple invasions by non-native species, a resurgence of macrophytes, and increasing annual temperatures. Through this, the Bay of Quinte has gone from a study site to a Great Lakes Area of Concern to now the prospect of being delisted. The data that Project Quinte has assembled since its inception represents a unique opportunity to examine how ecosystems function, and the papers presented in this special issue provide evidence of the scientific and management benefits of careful long-term monitoring of ecosystem structures and processes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".