🧱 SECTION B — Diagnostic systems (Green / Yellow / Red)

Here’s a clean pass over the diagnostic stack, same lens as Section A.


✅ GREEN — Methods or tools with real empirical backbone#

  • Differential diagnosis (as a method):
    Label: Differential diagnosis method
    Uses structured comparison, exclusion, and hypothesis testing—methodologically scientific, even if categories are fuzzy.

  • Cognitive tests (validated):
    Label: Neurocognitive assessment
    When psychometrically validated (reliability, norms, sensitivity/specificity), these are solid measurement tools.

  • Some personality/cognitive instruments with strong validation (e.g., MMPI, WAIS):
    Label: High‑validation psychometric instruments
    Not perfect, but they meet core scientific criteria as tests.

  • Neuroimaging / neurophysiology as measurement tools (not as diagnostic proof):
    Label: Neurobiological measurement tools
    Empirical, repeatable, substrate‑anchored—even if not yet good psychiatric biomarkers.

  • Genetics as a research input (GWAS, heritability studies):
    Label: Genetic association methods
    Scientific methods, even if current findings are noisy and non‑specific.


⚠️ YELLOW — Structured, partially empirical, but conceptually shaky#

  • DSM‑5 as a classification system:
    Label: DSM‑5 nosology
    Standardized, widely used, somewhat reliable—but categories are consensus‑based, not substrate‑discovered.

  • ICD‑11 mental and behavioural disorders chapter:
    Label: ICD‑11 psychiatric chapter
    Similar to DSM: structured, globally used, but still symptom‑cluster based.

  • CCMD (Chinese Classification of Mental Disorders):
    Label: CCMD nosology
    Regionally adapted, culturally shaped; structured but not biologically grounded.

  • Mental status examination (MSE):
    Label: Clinical observational protocol
    Semi‑structured, partially standardized; mixes observation with clinician interpretation.

  • Most personality tests used clinically (Big Five, etc.):
    Label: Mid‑validation personality constructs
    Some empirical support, but constructs are theory‑laden and culturally influenced.

  • Automated speech / digital phenotyping (emerging):
    Label: Experimental digital biomarkers
    Empirical methods in development; promising but not yet validated as diagnostic standards.


❌ RED — Institutional / cultural constructs treated as if they were discovered entities#

  • Diagnostic categories treated as “diseases” (e.g., “Major Depressive Disorder” as a discrete biological entity):
    Label: Reified symptom labels
    No consistent biomarkers; categories are pragmatic groupings, not discovered natural kinds.

  • Personality disorders as fixed, disease‑like entities:
    Label: Reified personality pathology
    Low reliability, high cultural loading, no clear substrate.

  • Use of DSM/ICD labels as if they were objective explanations (“You feel this way because you have X”):
    Label: Explanatory reification
    Category is treated as cause rather than description.

  • Overextension of “biomarker” language where none exist:
    Label: Biomarker rhetoric without biomarkers
    Scientific branding applied to non‑substrate constructs.


Structural snapshot for Section B#

  • Green: methods and tools that measure something real (tests, imaging, genetics, differential diagnosis).
  • Yellow: classification systems and semi‑structured exams—organized, useful, but conceptually floating.
  • Red: the reification move—turning symptom clusters and constructs into “diseases” and then treating them as discovered biological entities.