Bibliographic record
Abstract
The Niagara River Remedial Action Plan was part of an initiative to restore the integrity of the Great Lakes Basin ecosystem. In 1972, the Great Lakes Water Quality Agreement was signed by both Canada and the United States to demonstrate their commitment to protecting this valuable resource. An amendment in 1987 stipulated that Remedial Action Plans (RAPs) be implemented in 43 ecologically compromised areas known as Areas of Concern. The Niagara River was designated as one of these areas by federal and provincial governments and the International Joint Commission, an independent and binational organization that deals with issues concerning the use and quality of boundary waters between Canada and the United States. Although the affected area included parts of both the Canadian and American side of the river, Remedial Action Plans were developed separately in both Canada and the United States. \n \nThe Niagara River (Ontario) RAP is a three-stage process requiring collaboration between numerous government agencies and the public. Environment Canada, the Ontario Ministry of the Environment, and the Niagara Peninsula Conservation Authority are the agencies guiding the development and implementation of the Niagara River (Ontario) RAP. The first stage is to determine the severity and causes of the environmental degradation that resulted in the location being designated an Area of Concern; the second stage is to identify and implement actions that will restore and protect the health of the ecosystem; and the third stage is to monitor the area to ensure that the ecosystem’s health has been restored. Stage one of the RAP commenced in January 1989 when a Public Advisory Committee (PAC) was established. This committee was comprised of concerned citizens and representatives from various community groups, associations, industries and municipalities. After several years of consultation, the Niagara River (Ontario) Remedial Action Plan Stage 2 Report was released in 1995. It contained 16 goals and 37 recommendations. Among them was the need for Canadians and Americans to work more collaboratively in order to successfully restore the water quality in the Niagara River. \n \nStage three of the Niagara River (Ontario) RAP is currently ongoing, but it is estimated that it will be completed by 2015. At that point, the Niagara River Area of Concern will be delisted, although monitoring of the area will continue to ensure it remains healthy.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".