The Standalone Scholar: A Dual-Track Architecture for AI-Native Scholarship

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Authors: Yaoharee Lahtee
Cited by: 54
References: 5

Abstract

Generative AI lowers the cost of literature exploration, argu-ment recombination, drafting, coding scaffolds, and adversarialquestioning. For scholars embedded in universities, these gainsare absorbed into pre-existing laboratories, seminars, editorialnetworks, ethics systems, and disciplinary communities. For astandalone scholar, however, AI can create a structurally dif-ferent condition: the production of plausible scholarly objectscan become abundant before independent criticism, humanrelationships, certification, and institutional access becomeabundant. This article conceptualizes that condition as a prob-lem of scholarly infrastructure reconstruction. It develops adual-track architecture in which AI-assisted formation, openpreprint staging, provenance controls, and machine-constrainedchecks generate defensible provisional assets, while indepen-dent human friction, repeat correspondence, journal review, andlocal epistemic participation convert those assets into sociallystress-tested knowledge. The framework distinguishes syntheticplurality from independent validation, production criticalityfrom scholarly-credit criticality, attention from uptake, legiti-macy from truth, and latent programme coherence from publiclegibility. It further argues that global scholarly search and AIrecommendation routes may share Anglophone and database-distribution biases; accordingly, every socially relevant flagshipis assigned both a global conversion route and a local route, withThailand developed as an operational epistemic counter-maprather than a secondary public-relations market. Formal ex-pressions are used as governance definitions rather than causalestimates: a stock-pressure ratio diagnoses overproduction rela-tive to conversion, a credit-stock equation includes back-catalogactivation, a bottleneck law reallocates scarce human time, anda criticality model tracks leakage, legibility, conversion, anddelayed independent signals. The paper contributes a theory ofthe standalone scholar as an infrastructural position rather thana solitary identity, and offers falsifiable propositions for futureresearch on AI-mediated knowledge production, epistemic iso-lation, cumulative advantage, and geographically distributedscholarly legitimacy.

Fields of Study & Subjects

Research Data Management Practices Scientific Computing and Data Management Digital Humanities and Scholarship

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
29 August 2026
Document type
Preprint