Contribution to the handbook
Set aside · Assessed 2026-10-28
The packet’s study-method details do not identify task responsibility or provide a specific implication for governance design, risks, implementation or testing. The requested attribution is peripheral to the handbook’s system-level purpose.
Does this challenge the goal?
None identified
The question asks who carried out study tasks and does not contest the handbook’s goal or assumptions.
The supplied records describe methods and study materials but do not assign responsibility for the study’s main tasks.
Why this category?
- peripheral study attribution
- no specific governance-design implication
The packet does not establish what the paper reports about responsibility; this assessment concerns the limited contribution of the supplied evidence, not the full paper.
This is an AI assessment of contribution to the goal, separate from whether the question has an answer.
New evidence is being assessed. Any answer below is provisional; parts whose evidence changed or was withdrawn are withheld.
Report who the paper assigns to each main study task it identifies.
What we can say so far
The paper reports that a lawyer led the selection and organization of the policy proposals. Volunteers made the pairwise policy choices used as data; the authors say this study collected no new primary human-participant data. It assigns the subsequent research work to the authors or researchers collectively: preparing prompts, adapting and fine-tuning models, testing individual predictions, and comparing ordinary and model-augmented samples against group preferences. The researchers also carried out the reported subgroup, stability, and robustness checks. The supplied account does not divide those tasks among named individual authors.
What remains open
No material gap is recorded within this part’s current scope.
Conditions and limits
- These are the paper’s reported assignments, not independently verified personnel records.
- The volunteers’ choices came from the earlier participatory data; the authors say the study itself collected no new primary human-participant data.
- The lawyer is reported to have led proposal selection and organization, not necessarily to have done it alone.
Evidence and related ideas
Supporting evidence, qualifications and context play different roles in this answer.
supports
The volunteer policy data The study uses volunteer choices between randomly paired policies from the two leading candidates’ 2022 Brazilian presidential programs. The choices came from an experiment involving collaborative construction of a government program.
Identifies volunteers as making the policy choices used as data.
Large Language Models (LLMs) as Agents for Augmented Democracy
Read full source: Large Language Models (LLMs) as Agents for Augmented Democracy (opens in a new tab) ↗Read source discussion: Large Language Models (LLMs) as Agents for Augmented Democracy →
supports
Six fine-tuned models The authors fine-tune six existing language models on the volunteer data: Llama-2 7B, LLaMA-3 8B, ChatGPT 3.5 Turbo, Mistral 7B, Falcon 7B, and Gemma 7B.
Assigns model fine-tuning to the authors.