Dramaturgical Wiring Lab

Actor Persona vs. Psychological Architecture Workbench
Empirical Psychometrics Live
Source-Documented Empirical Case Studies
Dual-Layer Discrepancy Radar Jack Black
On-Screen Persona (Performance Layer)
Off-Screen Wiring (Authentic Temperament)
38%
Congruence Index
0.78
Affective Labor (0-1)
62%
Dramaturgical Gap
Dramaturgical Architecture & Grounded Evidence Compensatory Introversion
"I worked on the set of 'Year One' and met Jack Black... He was very quiet and reserved, almost in a sweet and timid way... he and his wife even ate lunch with the rest of the crew instead of hiding out in a trailer, though they ate at their own table."
Source: Direct eyewitness film crew testimony (B.A. Communications, Georgia Southern)
Dramaturgical Assessment: Jack Black demonstrates textbook Compensatory Introversion under Erving Goffman’s front-stage vs. back-stage sociology. High affective labor is expended during on-screen performance to generate frantic comedic frenzy, necessitating complete back-stage reserve to replenish neurological neurotransmitter reserves.
Behavioral Stress-Test Scenarios
Off-Set Fan Encounter Response

Actor defaults to gentle, reserved warmth rather than on-screen bombast. Does not perform unprompted antics; responds with sincere, quiet courtesy and personal boundary preservation.

Psychometric Calibration Engine Interactive Sliders

Manipulate the five fundamental dramaturgical dimensions to compare persona mask against authentic neural temperament.

1. Social Sensation / Extraversion Screen: 94% | Wire: 22%
2. Baseline Affective Arousal Screen: 95% | Wire: 40%
3. Threat Reactivity & Physical Composure Screen: 75% | Wire: 18%
4. Affective Masking / Repression Screen: 10% | Wire: 82%
5. Intellectual Humility & Introspection Screen: 15% | Wire: 88%
Dramaturgical Research Framework

Based on Erving Goffman’s Presentation of Self in Everyday Life (1959) and Arlie Hochschild’s The Managed Heart (1983).

  • Congruence Index: Vector correlation between performance role and baseline nervous system temperament.
  • Affective Labor Index: Cumulative metabolic cognitive cost required to suppress innate tendencies for public performance.
  • Conditioned Stoicism: Early developmental adaptation where quietness is rewarded and crying extinguished.

Trait differences and unvalidated classification labels

Read the explanation

This page compares five entered trait values between two layers. It takes the absolute difference on each axis and averages the five differences. A hypothetical five axis difference vector point one, point two, point three, point four and point five sums to one point five and averages point three. Congruence is one minus that average, times one hundred, rounded, so seventy percent. Gap is the average times one hundred, so thirty percent. At four pixels per percentage point the bars are two hundred eighty and one hundred twenty. This arithmetic is not a validated psychological assessment, and the named source presets do not independently establish facts about a person. The affective labor number multiplies average absolute difference by one point three five, caps it at one, and rounds to two decimal places. Average difference point two yields point two seven. Point four yields point five four. Point eight produces one after the cap. At three hundred pixels per unit the bars are eighty one, one hundred sixty two and three hundred. The code also sums squared differences but does not use that sum in these metrics. A labor label does not measure metabolic cost or diagnose an emotional condition. Classification follows ordered branches. Congruence at least seventy five receives the first alignment label. Only otherwise can high off screen masking combined with low energy select the next label. Only after those can an on screen minus off screen extraversion gap above point four five select another. Congruence seventy four and seventy five therefore straddle the first threshold. At four pixels per point the bars measure two hundred ninety six and three hundred. These names are source labels, not clinical diagnoses or verified biography. The JSON stores entered layers and calculated metrics; the radar depends on external D three, so offline chart failure remains qualified.

Super generates helpful tools and automates fact-checking across the internet proactively. If you enjoyed this tool, build your own with Super and share it with a friend.