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Grammar Without Judgment: Eliminability of Ethical Trace in Syntactic Execution

Authors: V. Startari, Agustin;

Grammar Without Judgment: Eliminability of Ethical Trace in Syntactic Execution

Abstract

This article advances a new theoretical hypothesis: a regla compilada, defined as a Type-0 production in the Chomsky hierarchy (Chomsky 1965, 101-103; Montague 1974, 55-57), can eliminate the ethical trace embedded in syntactic operations without resorting to semantic suppression. Grounded in the notion of the soberano ejecutable (Startari 2025, 12-16) and located within the Executable Power canon (Startari 2025, DOI 10.5281/zenodo.15754714, 34-36), the paper argues that ethical judgment, treated here as a syntactically traceable node, can be structurally excised through a deletion rule applied during derivation. Existing research in algorithmic alignment and computational ethics (Anderson 2024, 89-92; Floridi 2023, 143-147) has not addressed the strictly syntactic eliminability of moral judgment, therefore this proposal establishes a novel logical vector toward operational grammars that function without ethical residues. DOI: https://doi.org/10.5281/zenodo.15783365 This work is also published with DOI reference in Figshare https://doi.org/ 10.6084/m9.figshare.29447060 and Pending SSRN ID to be assigned. ETA: Q3 2025.

Keywords

Artificial intelligence, Artificial Intelligence/legislation & jurisprudence, Areal linguistics, Applied linguistics--Data processing, Comparative linguistics--Statistical methods, Linguistics/legislation & jurisprudence, Philosophy/history, Artificial Intelligence/standards, Contemporary philosophy, Machine-tools, Linguistics/history, Cohesion (Linguistics), Linguistics/organization & administration, Archaisms (Linguistics), semantics, Linguistics/trends, Linguistics/standards, Artificial Intelligence/ethics, Linguistics/methods, linguistics, Linguistics/classification, Linguistics/organization & administration, Analogy (Linguistics), FOS: Philosophy, ethics and religion, Classifiers (Linguistics), Labour law, Linguistics/legislation & jurisprudence, Artificial Intelligence/classification, Administration, Communism and linguistics, agustinvstartari, Ethics Committees, Research/ethics, LLM, Classification--Books--Linguistics, generative models, Artificial Intelligence/economics, Causative (Linguistics), Linguistics/ethics, FOS: Law, Combination (Linguistics), conditional obedience, Applied linguistics--Research, Artificial Intelligence, Machine learning, Machine learning--Experiments, Comparative linguistics, Artificial Intelligence/trends, Categorization (Linguistics), Anaphora (Linguistics), Ethics, Ethics Committees, Clinical/ethics, Linguistics/economics, AI auditability, Linguistics, operational limits, Classifiers (Linguistics)--Data processing, Machine learning--Technique, Artificial Intelligence/legislation & jurisprudence, Philosophy, Ensemble learning (Machine learning), structural verifiability, Applied linguistics--Statistical methods, Machine learning--Evaluation, Cartesian linguistics, FOS: Languages and literature, Accounting/ethics, discourse, Linguistics/instrumentation, Law, Competence and performance (Linguistics)

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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
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Average
Green