Developing and delivering scientific information in response to emerging needs
Bibliographic record
Abstract
Ecological information that adequately informs society's decisions often differs in several ways from that which science routinely provides. This workshop examined changes that may be required if some of society's pressing goals (eg sustained provision of ecosystem services, establishment of policy that adequately reflects interacting economic, social, and environmental factors, and an engaged public making increasingly informed choices) are to be achieved. Using a common framework, representatives of the Long Term Ecological Research networks in Canada, the US, and Mexico described their concerns and initiatives related to the delivery and effectiveness of the data and information they generate. Workshop participants reached consensus on a number of recommendations: (1) that it is the responsibility of ecologists to effectively inform societal choices, policies, and decisions; (2) that improved outcomes need to be an additional performance measure at a science program level; and (3) that a variety of recommendations need to be acted upon to enhance the effectiveness of ecological science. A full symposium through the Ecological Society of America is suggested. Muchas veces hay diferencias importantes entre la información ecológica que se requiere para adecuadamente informar a la sociedad y la que proporciona la investigación científica de manera continua. Este taller examinó cambios que podrán ser requeridos si se esperar alcanzar las demandas de una sociedad (eg la provisión sustentable de servicios ecosistémicos, el establecimiento de políticas que adecuadamente reflejen las interacciones económicas, sociales y factores ambientales, y un público incluido en la toma de decisiones). Usando una estructura común, representantes del Long Term Ecological Research en Canadá, Estados Unidos y México discutieron sus preocupaciones e iniciativas relacionadas con la forma de entrega y la vigencia de los datos e información producidos. Los participantes del taller formularon las siguientes recomendaciones: (1) que es la responsabilidad de los ecólogos de generar información científica que informe eficazmente a la sociedad en cuanto a opciones, políticas y la toma de decisiones; (2) que generando los mejores resultados deberá ser una medida adicional al nivel de la comunidad científica; (3) que una variedad de recomendaciones deben ser implementadas para mejorar la eficacia de la ciencia de la ecología. Se sugiere la organización de una sesión completa a través de la Ecological Society of America para dar seguimiento a este tema importante.
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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 | 0.269 | 0.283 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.012 | 0.008 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.027 | 0.035 |
| Open science | 0.009 | 0.035 |
| Research integrity | 0.021 | 0.023 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".