Wave-Wall Theory of Geopolitics Explorer · v3.0.1

Political waves, institutional walls, and the memory left in the foam.

Choose a cycle (electoral or comparative), paste a news story, archival excerpt, or scenario, or supply a URL / text-readable PDF. The tool identifies a central issue via an editable taxonomy, maps the issue into the selected cycle, and produces transparent readings of wave amplitude, wall resistance/elasticity/permeability/roughness, froth density, social-memory retention, speculation, and five descriptive outcome modes. Sensitivity analysis, uncertainty bands, and interactive inspection, hypothesis cards, sensitivity analysis, and formal Stella Nova PDF reports support rigorous use.

Inputs

Archival cycles yield higher confidence. Present and future cycles widen uncertainty bands and increase the speculation factor. Custom cycles support scenario and sensitivity work.

Election / comparative cycle

Loading cycle presets...

Source title / research label

Source mode

Story / notes / scenario text (preferred for research)

Boundary assumptions (user-controlled)

Source confidence

Wall elasticity

Wall permeability

Wall roughness

Memory retention weight

Ready. v3.0.1 interactive hypothesis workbench.

No source run yet

Run the model to populate outputs.

Issue energy--

Speculation--

Memory--

Confidence--

blue = wavegold/rose = walldots = frothbars = social memory

Central issue

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Issue taxonomy (ranked)

Named anchors

Froth terms (boundary layer)

Issue energy vs. wall resistance

Positions the reading at the boundary between mobilizing force and resistance. Useful for comparative mapping across sources or cycles.

Social memory projection

Past-cycle lines are retrospective; future-cycle lines are scenario bands only (not forecasts). Uncertainty widens with temporal distance.

Outcome modes (descriptive, ranked)

These are interpretive potentials under the current parameter vector, not causal predictions.

Hypothesis cards

Generated as testable research prompts, not predictions. Click a card to inspect its model basis, evidence needs, and counter-evidence.

Model variables (transparent intermediates)

Variable	Value	Interpretation

Import JSON

Sensitivity analysis

Run the model, then click Sensitivity ±0.15 to generate a perturbation table. This is the primary robustness instrument for papers and theory critique.

Extracted source preview

JSON payload (machine-readable)

Theoretical Foundations (Ontology-First)

The Wave-Wall model treats the primary analytical object as issue energy inside a temporal-spatial cycle boundary. The wave is not a party or preference; it is the mobilizing energy of a central issue. The wall is any opposing, institutional, regulatory, cultural, or hybrid boundary. Froth is an emergent boundary layer (not random noise). Social memory is the residue that can be reactivated.

Compatible with issue-attention cycles, political opportunity structures, and veto-player theory.
Social-memory layer draws on Halbwachs / Assmann traditions and media residualization.
Spatial extensions (Lefebvre, Soja, hybrid/cognitive infrastructure) are supported via the expandable taxonomy (see spatial_hybrid and surveillance_control categories).
Deliberately a heuristic (theory probe, teaching instrument, consistency check) rather than a full insilication or black-box predictor.

IssueEnergy = taxonomy signal + intensity + length adj.

WaveAmplitude = IssueEnergy × CycleTension + emotive

WallResistance = inst. load + tension + roughness + diversity

FrothDensity = energy + charged + rare + roughness

MemoryRetention = baseline + half-life + froth + weight

Confidence = source + archival clarity − speculation

Full equations, intermediate values, and the exact parameter vector are exported with every run. See the Methodological Note (v3) in docs/.

Formal Methodological Note

The fixed methodological note is compiled from the theory, ontology, equation map, data map, limitations, and v3 interaction model. It is embedded below for inline review and included as a selectable appendix in the PDF report.

Equation transparency

WaveAmplitude = IssueEnergy * (0.74 + CycleTension * 0.36) + EmotiveSignal * 0.12

WallResistance = InstitutionalSignal * 0.50 + CycleTension * 0.22 + Roughness * 0.18 + Diversity * 0.10

FrothDensity = IssueEnergy * 0.30 + EmotiveSignal * 0.28 + RareSignal * 0.25 + Roughness * 0.17

Workflow

Choose a cycle or scenario year.
Supply pasted text, URL text, or text-readable PDF.
Inspect every visual element and equation before interpretation.
Generate hypothesis cards and test with sensitivity analysis.
Export PDF + JSON + NoDB annotations for reproducibility.

Limitations & Scope Conditions

Not a forecast. Future-cycle outputs are scenario spaces with widening uncertainty bands.
Keyword + phrase taxonomy is a transparent first-order approximation. Highly metaphorical, ironic, or novel frames may be under-detected until the taxonomy is extended by the researcher.
Extraction: URL and PDF modes are best-effort. Many modern sites block server-side fetching or render via JavaScript. For scholarly work, always prefer clean pasted primary text.
No causal identification. The model is descriptive and generative of questions; it does not estimate treatment effects.
Language: English keyword lists. Multilingual packs are future work.
Default cycles remain U.S.-heavy; international and revolutionary packs are present and expandable.
Client-side by design for analysis; extraction, optional AI assistance, server PDF, and NoDB annotation endpoints are explicit and separable.

The model is intentionally designed so that disagreement with its outputs becomes usable data for theory improvement rather than opaque failure.

How to Cite

Always cite both the tool version and, for any specific reading, the generated scholarly report / JSON payload (which embeds the exact parameter vector, cycle, and timestamp).

Stella Nova Education Research Area. (2026). Wave-Wall Theory of Geopolitics Explorer (Version 3.0.1) [Web application]. https://stellanovaeducation.com/rc/wwte/

Use the PDF Report Preview button after any run to obtain a formal bordered Stella Nova report with selectable sections, run metadata, model equations, hypotheses, sensitivity findings, and limitations.

Scholarly Questions, Critique & Annotations

NoDB JSON annotation log for model critique, source caveats, cycle notes, variable tuning, taxonomy suggestions, and inter-coder observations. Entries are stored locally and, when the PHP endpoint is writable, appended to data/nodb_wave_wall_annotations.json. Export as CSV or JSON for secondary analysis.

Annotation