neutraalimmin
Neutraalimmin is a term encountered in theoretical discussions about neutrality in evaluative processes, notably in linguistics, cognitive science, and AI ethics. It denotes a stance or methodological principle aimed at preserving neutrality in judgment and annotation rather than expressing normative positions. The precise usage varies by field, but common threads include minimizing researcher bias, separating data interpretation from personal values, and explicitly describing evaluative criteria.
In natural language processing and data annotation, neutraalimmin guidance may direct annotators to assign a neutral
The term's origin is not definitively established; it appears in a small corpus of recent theoretical writings
Critics point to challenges in defining neutrality, achieving inter-annotator agreement, and communicating a neutral stance to
See also: neutrality, neutrality bias, sentiment analysis, annotation guidelines, AI ethics.