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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Research Framework of the Agnotology Lab — An Inductive Coding Framework

Authors: Yokota, Naoya;

Research Framework of the Agnotology Lab — An Inductive Coding Framework

Abstract

From the perspective of agnotology, this note presents an inductive coding framework for multidimensional analysis of the 'production of ignorance.' Moving beyond conventional domain-based classification, a seven-axis tagging system structures research notes and allows cross-disciplinary patterns to emerge from the data.

Japanese version available at https://isvd.or.jp/ja/labs/agnotology/hypothesis-overview (canonical English version at https://isvd.or.jp/en/labs/agnotology/hypothesis-overview).

Keywords

epistemic-injustice, post-truth, strategic-ignorance, information-literacy, misinformation, brandolini-law, agnotology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green