Communicating Scientific Information for Environmental Solutions: A Knowledge Management Perspective
Bibliographic record
Abstract
This paper discusses findings from research on the publication practices of the intergovernmental Gulf of Maine Council on the Marine Environment. Interviews with members of the main Working Group were used to gain further understanding of the production, distribution, and use of marine scientific information in policy decisions.Cette communication présente les conclusions d'une recherche sur les pratiques de publication du groupe de travail intergouvernemental Gulf of Maine Council on the Marine Environment. Des entrevues avec les membres du groupe de travail ont permis de mieux comprendre la production, la dissémination et l'utilisation d'information scientifique marine dans l'articulation des politiques.
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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 | 0.028 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.012 | 0.013 |
| Science and technology studies | 0.010 | 0.031 |
| Scholarly communication | 0.046 | 0.041 |
| Open science | 0.005 | 0.010 |
| Research integrity | 0.014 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".