A conceptual approach for the application of biological indicators of ecosystem quality in the Great Lakes Basin, a joint effort of the International Joint Commission and the Great Lakes Fishery Commission
Bibliographic record
Abstract
The International Joint Commission (IJC) and the Great Lakes Fishery Commission (GLFC) according to their respective mandates, have collaborated in a new initiative under the general purview of an ecosystem approach directed towards the management of the environment and resources of the Great Lakes Basin. This initiative logically followed upon the 1955 Great Lakes Fisheries Convention and the 1978 Great Lakes Water Quality Agreement between Canada and the United States, both of which were intended to provide continuing protection under rational use for fishery resources and the environment within the Great Lakes Basin ecosystem. A prerequisite for appropriate application of an ecosystem approach is the need to determine the current state of health of the environment and its contained resources and to identify the areas where the system may be unduly stressed by cultural interventions. The task of advancing the ecosystem approach concept and subsequent application in management was assigned to a Work Group of the Aquatic Ecosystem Objectives Committee (AEOC) (Work Group on Indicators of Ecosystem Quality (WGIEQ)) which, in turn, reports to the Great Lakes Scientific Advisory Board of the International Joint Commission. The WGIEQ used as its general terms of reference the First Recommendation of the First Biennial Report (IJC 1982) under the Water Quality Agreement of 1978. The WGIEQ's more specific terms of reference were to: appraise, evaluate and critique the feasibility of using an indicator/integrator organism as a surrogate of the state-of-health of the Great Lakes, to produce an ecosystem objective and supporting rationale for inclusion into any future revisions of the 1978 Water Quality Agreement, to identify appropriate ecosystem variables for future monitoring, and to explore and develop, where appropriate, other ecosystem approaches applicable to the Great Lakes Basin. This assignment was completed and is outlined in this document.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".