Measures expressed behavior in text rather than internal states.
Methodology
How CBL operates as a behavioral measurement framework.
CBL operationalizes observable behavioral expression through a standardized ontology of primitives, conservative extraction rules, and domain-aware validation procedures. Its purpose is to measure how people express responses to authority, fairness, rules, and institutions in text.
Uses a fixed ontology to improve cross-domain comparability.
Defaults to not observable when evidence is unclear.
Designed for inter-rater comparison and ongoing pilot research.
Operational Sequence
CBL follows a measurement-first workflow.
Text collection
Gather consented or public text from authority-sensitive domains such as legal complaints, sports communities, or service disputes.
Primitive extraction
Apply the ontology to identify whether specific behavioral primitives are expressed in the text.
Conservative coding
When the source text does not clearly express a primitive, the extraction outcome remains not observable.
Validation and comparison
Compare model outputs against independent human coders and evaluate structure across domains.
Methodological Guardrails
What the framework does and does not infer.
Positive scope
- Observable behavioral expression in text
- Authority-sensitive response structure
- Cross-domain comparison of standardized primitives
- Aggregate interpretation for research and institutional analysis
Explicit exclusions
- No claim of direct access to mental states
- No individual scoring or profiling mandate
- No claim of completed validation
- No claim that all domains are already empirically equivalent
Multilingual Design
CBL is intended for multilingual operation from the outset.
A motivating premise of the framework is that behavioral measurement should not remain limited to English-only instruments later translated into underserved linguistic environments. CBL therefore treats multilingual applicability as part of the methodological design, while acknowledging that multilingual validation remains ongoing.
The framework aims to standardize observable behavioral expression across languages without collapsing linguistic specificity into a single generic sentiment layer.