🧱 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.