Kootenai River Focus Watershed Coordination, 2003-2004 Annual Report.
Bibliographic record
Abstract
The Kootenai River Network (KRN) was contracted by the Bonneville Power Administration; PPA Project Number 96087200 for the period June 1, 2003 to May 31, 2004 to provide Kootenai River basin watershed coordination services. The prime focus of the KRN is coordinating activities and disseminating information related to watershed improvement and education and outreach with other interest groups in the Kootenai River basin. To this end, the KRN primarily focuses on maintaining communication networks among private and public watershed improvement groups in the Columbia River Basin. The KRN willing shares its resources with these groups. The 2003-2004 BPA contract extended the original Montana Fish, Wildlife and Parks contract, which was transferred to the Kootenai River Network through a Memorandum of Understanding in November 2001. The KRN objectives of this contract were carried out through Watershed Coordinator position. The highly successful Kootenai River Network Annual General Meeting in Bonners Ferry in May 2003 demonstrated the tremendous gains that the Kootenai River Network has made in trans-boundary networking of watershed issues and accomplishments. The Annual General Meeting included seventy five participants representing more than forty US and Canadian citizen groups, tribes, first nations, agencies, ministries, businesses and private land owners from Montana, British Columbia, Idaho and Alberta. The International Restoration Tour in July 2004 featured the Grave Creek and Therriault Wetlands restoration projects in Montana and the Sand Creek and Wolf Creek restoration projects in British Columbia. The tour was attended by more than thirty people representing US and Canadian Federal and State/Provincial agencies, schools, colleges, conservation groups, private land owners, consultants, tribes, first nations, and politicians. These exciting trans-boundary successes encouraged the KRN to establish half-time Watershed Coordinator positions in both the United States and Canada. In September 2004 Kim Laub was hired as US-Watershed Coordinator and Jim and Laura Duncan were hired as Canadian Watershed Coordinators. To rejuvenate and revitalize the KRN, the Board conducted a strategic thinking and planning meeting in November 2004. All Board, staff and Advisory members participated in a combined effort to clearly define the goals of the KRN and to design ways of achieving those goals. Affirming and integrating board policy was a primary focus and it included writing accurate job descriptions for all KRN positions. KRN committee goals, the BPA contract and the Statement of Work plan were reviewed to establish future directions for a complex organization.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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; both teacher heads agree on what is shown here.
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".