The best available science for the management of anadromous salmonids in the Columbia River Basin
Bibliographic record
Abstract
Reference to the "best available science" is popular among administrators and scientists responsible for the management of anadromous salmonids in the Columbia River Basin. Regional recovery documents explicitly call for the consideration of the best available science during the formulation of policies, but they fail to elaborate on what this phrase means. In the absence of such clarification, the definition of what counts as science, how to recognize the best science from the rest, and a determination of how much of it is available invites a wide array of interpretations. Two possible remedies are proposed to alleviate this ambiguity. The first is to leave this phrase intact, but also to append an explicit definition of what each term means. This should establish sideboards for what is acceptable when compiling scientific information. The second remedy is to discontinue the impulsive use of the phrase best available science and select alternative language that more accurately reflects legislative intent. This refinement process will naturally result in other phrases tailored to the specific preferences and requirements of each situation. A decision to accept any of these alternatives may profoundly affect how science influences the management of anadromous salmonids in the Columbia River Basin.
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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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".