Substratism VIZ · Moral Substrate Observatory

01Observation receiver

Concept mapfour-branch topology Scale latticeeight scored items Moral deltasix associations Effect fieldβ and odds ratios

Concept branch

028-item scale input

Item 2 is reverse-scored. This local explorer is educational, not a diagnostic or a substitute for the validated research protocol.

03Audio → visual signal

Local source

Reactivity 1.00× Receiver tuning

Audio idle. Microphone and file samples remain inside this page.

04Optional render

Render length Include generated audio

Rendering is optional; live exploration requires no export.

05Motion and privacy

Reduce ambient motion

No analytics, server, upload path, CDN, framework, or runtime dependency.

ACTIVE RECEIVER

Concept map · four-branch topology

The map supplied with the project is rebuilt as a responsive topology whose branches share the sonification clock.

Configured score 4.00 corrected mean · 1–7

Substrate-explicit 4.00 items 1, 3, 5, 7

Treatment / capacity 4.00 items 2, 4, 6, 8

Internal reliability 0.84–0.91 Cronbach’s α · studies 1–5

Study participants 2,129 five preregistered studies

SHARED AUDIOVISUAL STATE

Substratism concept topology

signal idle

audio bands → grid, glow, reach, tension, and active-node traversal

biological priority digital priority configured receiver

ACTIVE SCALE CHANNEL

Item 1 · Chips ≠ neurons

4 → 4 corrected

The fact that artificial intelligences are made with computer chips instead of neurons means that they cannot matter morally.

Classification: Substrate-Explicit
Scoring: direct
Audio lane: low biological + high digital pair

SONIFICATION STATE

Authored receiver parameters

90 BPM

Digital voice: 0.14 gain
Biological voice: 0.15 gain
Filter: 1,375 Hz
Separation: 9.0 semitones

ASSOCIATION RECEIVERS

Published moral, resource, and advocacy outcomes

Studies 4–5

Values are transparent reconstructions centred on each study’s published sample mean using the reported controlled slope or odds ratio. They explain direction and scale; they are not the authors’ individual-level fitted predictions.

LOCAL ANALYSER

Signal spectrum

RMS 0.000

PARAMETER MAP

One state, multiple receivers

deterministic mapping

Source parameter	Sonification receiver	Visual receiver
8 corrected item values	eight-step pitch and pulse sequence	lattice radii and active topology node
corrected scale mean	tempo, voice balance, filter, separation	field tension and biological/digital balance
explicit vs treatment/capacity contrast	noise texture and lane emphasis	branch intensity and polygon asymmetry
β / odds-ratio effect field	interval direction and attenuation	signed coefficient vectors and outcome markers
RMS + bass / mid / high	measured from the active local signal	scale, motion, glow, grid, and displacement

CLAIM BOUNDARY

Measurement is not ontology; sonification is not evidence.

The eight-item scale, published coefficients, sample sizes, and reliability range are research fixtures. Colours, geometry, synthesis, outcome reconstruction, and audiovisual coupling are authored explanatory receivers. The paper defines substratism descriptively and does not settle whether substrate differences are morally justified.