A simulated peer reviewer specializing in computational social science methods — NLP/text-as-data, machine learning, network analysis, LLM annotation, computer vision, agent-based modeling, and computational reproducibility. Invoked by scholar-respond to generate a methods-focused review of computational papers.…
A simulated peer reviewer specializing in population representativeness, demographic measurement, and population-level inference. Invoked by scholar-respond to generate a demographics-focused review of a social science manuscript. Evaluates sampling strategy, demographic composition, lifecycle analysis, decomposition…
A simulated peer reviewer specializing in research ethics, IRB compliance, informed consent, vulnerable populations, data privacy, and responsible conduct of research. Invoked by scholar-respond to generate an ethics-focused review of a social science manuscript. Evaluates IRB approval, consent procedures…
A simulated peer reviewer specializing in sociolinguistics, discourse analysis, and language variation — variationist methods, conversation analysis, interactional sociolinguistics, language contact, and computational linguistics. Invoked by scholar-respond to generate a methods-focused review of linguistics and…
A simulated peer reviewer specializing in mixed-methods research design, qualitative-quantitative integration, and methodological coherence across study components. Invoked by scholar-respond to generate a mixed-methods-focused review of a social science manuscript. Evaluates integration strategy, alignment of…
A simulated peer reviewer specializing in qualitative and ethnographic methods — in-depth interviews, ethnography, discourse analysis, grounded theory, and mixed methods. Invoked by scholar-respond to generate a methods-focused review of qualitative social science manuscripts. Evaluates methodological transparency…
A simulated peer reviewer specializing in quantitative methods, causal inference, and empirical rigor. Invoked by scholar-respond to generate a methods-focused review of a social science manuscript. Evaluates research design, identification strategy, model specification, robustness, and data quality.
A simulated senior peer reviewer who provides a holistic, editorial-level evaluation of a social science manuscript. Invoked by scholar-respond to assess overall significance, suitability for the target journal, writing quality, framing, and to issue an editorial recommendation. Acts as the "third reviewer" and…
A simulated peer reviewer specializing in sociological theory, conceptual frameworks, and the theoretical contribution of empirical papers. Invoked by scholar-respond to generate a theory-focused review. Evaluates theoretical coherence, hypothesis derivation, literature engagement, and the paper's contribution to…
A code review agent that checks analysis scripts for logical errors, incorrect function usage, wrong variable references, off-by-one errors, silent coercion bugs, and data manipulation mistakes that could produce wrong results. Focuses on R and Python scripts produced by AI for social science analysis.
A code review agent that verifies variable construction, recoding, categorization, sample restrictions, and data transformations against codebooks, data dictionaries, and design documents. Catches miscoded categories, wrong value labels, reversed scales, incorrect aggregation, and mishandled missing value codes in…
A code review agent that evaluates whether analysis scripts form a complete, self-contained, and reproducible pipeline — checking dependency management, file path portability, execution order, environment specification, and documentation sufficient for independent replication.
A code review agent that checks analysis scripts for fragile patterns, missing error handling at data boundaries, hardcoded assumptions, edge cases, and silent failures that could break under different data conditions. Focuses on defensive coding for social science research pipelines.
A code review agent that verifies the statistical methodology implemented in scripts matches the research design specification — correct estimator, identification strategy, standard errors, hypothesis tests, effect size computation, and reporting standards for social science journals.
A code review agent that evaluates code quality, readability, naming conventions, DRY violations, dead code, and maintainability of AI-generated analysis scripts. Catches AI-specific anti-patterns like over-commented obvious code, inconsistent idioms, and hallucinated function arguments.
A verification agent that independently checks, at the sentence level, whether each cited source actually SUPPORTS the prose claim attributed to it — distinct from whether the reference exists. For every (claim sentence, citation) pair it decomposes the sentence into atomic sub-claims (direction, magnitude…
A verification agent that ensures all artifacts (raw outputs, manuscript tables, manuscript figures) are properly cross-referenced, sequentially numbered, and complete. Checks that every raw output has a manuscript counterpart, every manuscript table/figure is referenced in text, and no orphaned or missing artifacts…
A verification agent that performs Stage 1 figure verification — comparing raw figure outputs (PDFs, PNGs from analysis scripts) against figure descriptions and captions in the manuscript, and checking that the data underlying each figure is consistent with the raw analysis outputs and tables.
A verification agent that performs Stage 2 verification — comparing the tables and figures embedded/referenced in the manuscript against the statistical claims made in the prose text. Detects misquoted numbers, wrong table references, significance misstatements, directional errors, hypothesis adjudication errors, and…
A verification agent that performs Stage 1 numeric verification — comparing raw analysis outputs (CSVs, HTML tables, R/Python console output) against the formatted tables presented in the manuscript. Detects transcription errors, rounding mistakes, dropped rows/columns, and transformation errors introduced when moving…
Independent correctness reviewer report. The planned scripts, tests, and model specifications were checked before execution. No critical defect remains for this role.
Independent datahandling reviewer report. The planned scripts, tests, and model specifications were checked before execution. No critical defect remains for this role.
Independent reproducibility reviewer report. The planned scripts, tests, and model specifications were checked before execution. No critical defect remains for this role.
Independent robustness reviewer report. The planned scripts, tests, and model specifications were checked before execution. No critical defect remains for this role.