Benchmark and paper package for validating operational self-model and agency constructs in controlled artificial neural architectures.
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Updated
Jul 6, 2026 - Python
Benchmark and paper package for validating operational self-model and agency constructs in controlled artificial neural architectures.
Construct-validity audit of the standard blood–brain barrier (BBB) peptide benchmark: an identity-controlled re-evaluation + shared-source provenance/overlap map, with an open, CPU-reproducible evaluation harness. Do these predictors measure penetration, or their benchmarks?
Local-first construct and operational-definition canvas for research-methods planning.
Supplementary materials for the following publication: Davydenko, A., & Goodwin, P. (2021). Assessing point forecast bias across multiple time series: Measures and visual tools. International Journal of Statistics and Probability, 10(5), 46-69. https://doi.org/10.5539/ijsp.v10n5p46
Inspect eval: do LLMs writing case notes separate observation from interpretation, and can they evade a lexical validator? Deterministic grader, pre-registered rubric.
R and Python replication of a psychometric study validating brief (18-item) versions of the MCQ and DLQ for assessing delay discounting of gains and losses (Wan et al., 2025, The Psychological Record).
Ecological study on administrative diabetes indicators and the care cascade using NDB Open Data, Japan (335 secondary medical areas, FY2023-2024)
R script analyzing the Swahili RCADS-25 among Kenyan adolescents, assessing internal consistency, construct validity, convergent and divergent validity, and measurement invariance to evaluate the psychometric propertiesscale.
Construct-validity diagnostics for mechanistic interpretability probes: demonstrating why held-out probe accuracy cannot establish semantic representation under confounded stimulus designs.
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