ArticleRegional environmental change2022
Knowledge systems approaches for enhancing project impacts in complex settings: community fire management and peatland restoration in Indonesia.
Article in Regional environmental change, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 11 citations in OpenAlex.
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Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Knowledge systems approaches for enhancing the impact of research are well established and tend to focus on the ways in which researchers can adapt their engagement with stakeholders to achieve a better "fit" between research and action agendas. Yet, these approaches are often based on explicit or implicit assumptions of a skilled and willing research team, and stable and well-defined stakeholders, who have consistent and reasonably well-defined needs. This paper discusses how knowledge systems approaches were developed and deployed in the first phase of the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.