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Null Subjects of Power: The Politics of Absence in Executable Language

Authors: V. Startari, Agustin;

Null Subjects of Power: The Politics of Absence in Executable Language

Abstract

This article introduces the concept of Null Subjects of Power, where authority operates through the absence of an explicit agent. While in linguistics the null subject is a grammatical category, in predictive societies it becomes a political one: institutions obey rules without a speaker, mandates without an issuer, and decisions without a subject. From judicial sentences and financial reports to policy drafts generated by AI, the null subject marks the disappearance of responsibility while preserving obedience. The paper argues that null subjects constitute a structural category of power, redefining sovereignty in executable language. DOI Primary archive: https://doi.org/10.5281/zenodo.17085900 Secondary archive: https://doi.org/10.6084/m9.figshare.30085636 SSRN: Pending assignment (ETA: Q3 2025)

Keywords

Linguistics/statistics & numerical data, Machine Learning/ethics, Appropriateness (Ethics), Artificial intelligence, Artificial Intelligence/legislation & jurisprudence, Artificial Intelligence/statistics & numerical data, Applied linguistics--Data processing, Linguistics/legislation & jurisprudence, Artificial Intelligence/standards, Machine-tools, Unsupervised Machine Learning/classification, Linguistics/history, Cohesion (Linguistics), Supervised Machine Learning/economics, Ethics Committees/ethics, Linguistics/organization & administration, Machine Learning/standards, Linguistics/trends, Legal photography--History, Linguistics/standards, Artificial Intelligence/ethics, Artificial Intelligence/supply & distribution, Supervised Machine Learning/ethics, Linguistics/methods, linguistics, Legal regulation, Machine Learning/supply & distribution, Linguistics/classification, Linguistics/organization & administration, Liability, Legal, Artificial Intelligence/statistics & numerical data, Linguistics/education, Legal Services/ethics, Supervised Machine Learning/classification, Machine Learning/trends, Unsupervised Machine Learning/ethics, Ethics Consultation/ethics, Machine Learning/history, Linguistics/legislation & jurisprudence, Artificial Intelligence/classification, Legal system, Justification (Ethics), Legal research--Automation, Applied ethics, Legal Services/trends, Classification--Books--Linguistics, Machine Learning/supply & distribution, Causative (Linguistics), Artificial Intelligence/economics, Supervised Machine Learning/trends, Unsupervised Machine Learning/history, Machine Learning/legislation & jurisprudence, Linguistics/ethics, Applied linguistics--Research, Artificial Intelligence/history, Linguistics/statistics & numerical data, Science journalism, Artificial Intelligence, Supervised Machine Learning/standards, Machine learning--Experiments, Machine learning, Artificial Intelligence/trends, Categorization (Linguistics), Machine Learning/legislation & jurisprudence, Legal procedure, Ethics, Applied ethics--Study and teaching, Linguistics/economics, Classifiers (Linguistics)--Data processing, Linguistics, Machine learning--Technique, Artificial Intelligence/supply & distribution, Machine Learning/economics, Artificial Intelligence/legislation & jurisprudence, Ensemble learning (Machine learning), Applied linguistics--Statistical methods, Cartesian linguistics, Machine learning--Evaluation, FOS: Languages and literature, Linguistics/instrumentation, Legal Services, Art and science

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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
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