ArticleFrontiers in sociology2024
Decolonizing climate change response: African indigenous knowledge and sustainable development.
Article in Frontiers in sociology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Public health nurse advocacy as essential for addressing the health impacts of climate change.Public health reviews · 2026Article
- Rethinking knowledge systems in psychology: addressing epistemic hegemony and systemic obstacles in climate change studies.Frontiers in psychology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Anthropogenic Global Warming (AGW) poses a critical challenge necessitating effective global climate change mitigation efforts. However, the pervasive influence of scientism in AGW discourse often marginalizes Indigenous perspectives crucial for addressing climate impacts, particularly in Africa where adaptive capacity is limited. Objective: This study, rooted in Transformative Learning Theory and Ubuntu philosophy, employs critical qualitative research methods to examine how scientism shapes AGW discourse epistemologically and ethically. It explores the hindrances posed by climate change denialism and ecomodernism due to scientism while advocating the integration of African Indigenous Knowledge Systems (AIKs) into climate response strategies, particularly within the African education landscape. Methods: Drawing on the theoretical frameworks of Transformative Learning and Ubuntu philosophy, and informed by critical qualitative research methodology, this research analyzes the role of scientism in AGW discourse. It investigates its implications for Education for Sustainable Development (ESD) and discusses arguments for the inclusion of AIK in educational and policy frameworks. Results: The study reveals that scientism perpetuates epistemological biases that undervalue AIK, thereby impeding comprehensive climate response strategies. Pathways are proposed that promote AIK integration and mainstreaming, thereby decolonizing climate response efforts and enhancing ESD within Africa's educational institutions. Conclusion: Integrating insights from AIK, construed in terms of 'exemplary ethical communities' (EEC), into climate change responses is pivotal for fostering inclusive and effective strategies. This approach not only addresses the ethical imperatives of decolonization but also enhances resilience and sustainability in climate-vulnerable regions. Significance: This study contributes to scholarship by highlighting the urgent need to diversify climate response strategies through the inclusion of AIK. By advocating for the integration of wisdom from EECs, it advances discussions on decoloniality within climate change discourse, emphasizing the importance of Indigenous knowledge in global sustainability efforts.
Indexed as
Identifiers
What OpenQuestion holds
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.