Candidate Annotation Architecture for Collective Regulation Under Stress

Eik Niederlohmann proposes a theory-driven annotation architecture for computational psychiatry. The framework defines five collective-process variables for human annotation and formal modeling, using early modern Iberia as a demonstration case. The contribution is methodological, providing an intermediate representation layer for future reliability testing and computational modeling.

Use Cases

• Human annotation of collective-process variables based on the defined DEF-C, ANX-C, PRO-C, SUP-C, and FRAME-C indicators.
• Comparative coding of historically mediated material based on the framework's explicit coding units and evidence spans.
• Baseline comparison for human-in-the-loop computational modeling based on the proposed intermediate representation layer.
• Testing methodological constraints like anachronism and narrative uncertainty in historical analysis.

Strengths

• Framework defines five specific collective-process variables (DEF-C, ANX-C, PRO-C, SUP-C, FRAME-C) for annotation.
• Provides explicit methodological specifications for coding units, evidence spans, and adjudication rules.
• Includes a worked coding demonstration using historical material from early modern Iberia.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• The article does not report inter-coder reliability, fitted state-space estimation, or predictive performance.

Provenance

Source

figshare

Collection Method

Theoretical framework proposal and methodological demonstration.

Freshness

Last updated 2026-05-26 05:26:13; freshness should be verified.

Geography

Early modern Iberia (al-Andalus) and the Dutch Republic as a contrastive horizon.