What question did this study set out to answer?

The research aims to examine the differences in coding AI provenance labels done by authors versus those done by assistants.

March 19, 2026Open Access

AutoResearch over a Reflexive Corpus: Design Note for the First Automated Research Experiment

Key Points

The research aims to examine the differences in coding AI provenance labels done by authors versus those done by assistants.
Conducted a comparative analysis of author-coded and assistant-coded provenance labels.
Utilized the Reflexive Laboratory corpus for analysis.
Evaluated contributions classified as human, cyborg, or AI.
Identified systematic divergence in interpretations of contributions.
Showed that assistant-coded labels differ from author-coded ones.
Highlighted varying perspectives on AI contributions across the corpus.

Abstract

A comparative analysis of author-coded versus assistant-coded AI provenance labels across the Reflexive Laboratory corpus, revealing systematic divergence in how human, cyborg, and AI contributions are interpreted.

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Cite This Study

Peter Bell (Tue,) studied this question.

synapsesocial.com/papers/69bb928c496e729e6297ff2d https://doi.org/https://doi.org/10.5281/zenodo.19075216