Governance Vacuum Correction Standard (GTS v5.1): A Non-Binding Framework for Institutional Latency Reduction in High-Risk Environments
Bibliographic record
Abstract
TSUMS 4.0V (BOI Edition) introduces a non-interventionist governance interface designed for high-risk mountain and disaster environments. This document defines a replayable governance structure that enables institutions to verify whether decisions were made under pre-committed parameters at the time of execution. The framework does not prescribe decisions, assign liability, or override sovereign authority. It provides a deterministic and auditable structure for: • Risk-state traceability • Institutional response latency visibility • Decision replay verification • Accountability mapping under pre-locked governance parameters TSUMS 4.0V operates as a policy-neutral interface layer. Normative judgment and legal authority remain sovereign. This BOI (Boundary of Intervention) edition clarifies that TSUMS functions strictly as a transparency and replay standard, not as a regulatory mechanism. The objective is to reduce post-incident ambiguity in high-risk environments by preserving governance memory through deterministic structural replay. Adoption is voluntary.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".