Why Level 3 Flattens: Statistical Regularity, Enunciative Singularity, and Authorial Voice in AI-Mediated Academic Translation

This preprint proposes a theoretical-explanatory account for a finding already documented empirically within the CF-C Research Program: across two independent studies (Teste Alfa, PT→EN; Teste Delta, EN→PT), discursive-informational flattening (DIF) in AI-mediated academic translation concentrated systematically on Level 3 of Bronckart's Socio-Discursive Interactionism (SDI) model — the enunciative level, where modalization, voice management, and authorial responsibility are textually encoded. The article argues that this vulnerability is structural rather than accidental, resulting from a mismatch between probabilistic choices (governed by statistical regularity in training corpora) and inferential-epistemic choices (anchored in the situated responsibility of a specific enunciator). Drawing on the Taxonomy of Informational Gestures (CF-C), it proposes reading informational gestures as units of discursive meaning and discusses implications for machine translation evaluation and linguistic mediation instrument design. This deposit includes both the English version and a Portuguese translation of the same article ("Por que o Nível 3 achata: regularidade estatística, singularidade enunciativa e voz autoral na tradução acadêmica mediada por IA"). This preprint complements the pilot study preprint (DOI 10.5281/zenodo.22019234), the CF-C Instruments deposit (DOI 10.5281/zenodo.21351930), and the CF-C Program project on OSF (DOI 10.17605/OSF.IO/R7CYW).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-20
DOI
https://doi.org/10.5281/zenodo.22033627
Primary Topic
Language, Metaphor, and Cognition
Type
preprint
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preprint

Why Level 3 Flattens: Statistical Regularity, Enunciative Singularity, and Authorial Voice in AI-Mediated Academic Translation

Maria Christina da Silva Firmino Cervera
Zenodo (CERN European Organization for Nuclear Research)
Language, Metaphor, and Cognition
preprint

Why Level 3 Flattens: Statistical Regularity, Enunciative Singularity, and Authorial Voice in AI-Mediated Academic Translation

Maria Christina da Silva Firmino Cervera
preprint en

Abstract

This preprint proposes a theoretical-explanatory account for a finding already documented empirically within the CF-C Research Program: across two independent studies (Teste Alfa, PT→EN; Teste Delta, EN→PT), discursive-informational flattening (DIF) in AI-mediated academic translation concentrated systematically on Level 3 of Bronckart's Socio-Discursive Interactionism (SDI) model — the enunciative level, where modalization, voice management, and authorial responsibility are textually encoded. The article argues that this vulnerability is structural rather than accidental, resulting from a mismatch between probabilistic choices (governed by statistical regularity in training corpora) and inferential-epistemic choices (anchored in the situated responsibility of a specific enunciator). Drawing on the Taxonomy of Informational Gestures (CF-C), it proposes reading informational gestures as units of discursive meaning and discusses implications for machine translation evaluation and linguistic mediation instrument design. This deposit includes both the English version and a Portuguese translation of the same article ("Por que o Nível 3 achata: regularidade estatística, singularidade enunciativa e voz autoral na tradução acadêmica mediada por IA"). This preprint complements the pilot study preprint (DOI 10.5281/zenodo.22019234), the CF-C Instruments deposit (DOI 10.5281/zenodo.21351930), and the CF-C Program project on OSF (DOI 10.17605/OSF.IO/R7CYW).

Zenodo (CERN European Organization for Nuclear Research)
University of Victoria (CA), Universidade Federal do Sul e Sudeste do Pará (BR)
Quality Education
Language, Metaphor, and Cognition
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