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Beyond samplism: Rethinking the field in exposure science
1College UC & Instituto para el Desarrollo Sustentable, Pontificia Universidad Católica de Chile, Santiago, Chile.
Environmental pollution assessments are limited by "samplism," a method that oversimplifies fieldwork. This approach neglects crucial environmental data, reducing the effectiveness of exposure science in protecting at-risk populations.
Area of Science:
- Environmental Science
- Sociology of Science
- Public Health
Background:
- Industrial capitalism has led to widespread environmental pollution, necessitating robust toxicity assessments for human and nonhuman populations.
- Current scientific methods for assessing environmental toxicity have critical limitations, hindering their ability to protect vulnerable groups.
- Exposure science aims to understand and mitigate the health impacts of environmental contaminants.
Purpose of the Study:
- To critically analyze the methodologies used in environmental pollution assessments.
- To reveal the shortcomings of current field assessment practices, termed 'samplism'.
- To propose more comprehensive approaches for exposure science fieldwork.
Main Methods:
- Ethnographic analysis of two field campaigns focused on assessing polluted sites in northern Chile.
- Examination of the 'samplism' phenomenon in environmental fieldwork.
- Qualitative assessment of how field practices influence scientific knowledge production.
Main Results:
- Field campaigns often exhibit 'samplism,' reducing complex environments to simplified, lab-focused sample collection.
- This simplification leads to the neglect of critical field phenomena relevant to pollution assessment.
- The limitations of samplism significantly reduce exposure science's capacity to inform protective measures.
Conclusions:
- Samplism represents a critical flaw in current environmental pollution assessment strategies.
- Exposure science requires a paradigm shift towards more ecologically informed fieldwork.
- Developing capacious engagement with field complexity is essential for accurate pollution assessment and public health protection.
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