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Methods for collaboratively identifying research priorities and emerging issues in science and policy

2011· article· en· 371 citations· W2122737105 on OpenAlex· 10.1111/j.2041-210x.2010.00083.x

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.
About CanadaIts subject is Canada, wherever its authors sit.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.130
GPT teacher head0.511
Teacher spread
0.381 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Summary 1. There is a widely recognized gap between the data generated by researchers and the information required by policy makers. In an effort to bridge the gap between conservation policy and science, we have convened in several countries multiple groups of policy makers, practitioners and researchers to identify priority information needs that can be met by new research in the social and natural sciences. 2. The exercises we have coordinated included identification of priority policy‐relevant research questions in specific geographies (UK, USA, Canada); questions relating to global conservation; questions relating to global agriculture; policy opportunities in the United Kingdom; and emerging global conservation issues or ‘horizon scanning’. 3. We outline the exercises and describe our methods, which are based on principles of inclusivity, openness and democracy. Methods to maximize inclusiveness and rigour in such exercises include solicitation of questions and priorities from an extensive community, online collation of material, repeated voting and engagement with policy networks to foster uptake and application of the results. 4. These methods are transferable to a wide range of policy or research areas within and beyond the conservation sciences.

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.

The record

Venue
Methods in Ecology and Evolution
Topic
Forest Management and Policy
Field
Environmental Science
Canadian institutions
Funders
Natural Environment Research CouncilSight Research UKCanada Research ChairsArcadia Fund
Keywords
RigourOpenness to experiencePolitical scienceIdentification (biology)Science policyPublic relationsManagement scienceSociologyPublic administrationEconomicsEcologyPsychology
Has abstract in OpenAlex
yes