The Liberty System Pilot Program: Operational Deployment in Canada and the United Kingdom (2026)
Bibliographic record
Abstract
Description This record presents The Liberty System Pilot Program, an empirical, architecture-level evaluation of a rights-anchored, multi-layer public-sector governance system deployed across Canada and the United Kingdom. The pilot tests whether a structurally coherent 15-layer subset of the Liberty System can maintain institutional stability, rights compliance, and cross-agency coordination under real administrative conditions. Rather than assessing individual policies or technologies, the pilot examines governance behaviour at the architectural level. It evaluates tri-branch routing, rights-tier enforcement, cross-domain synchronisation, and the performance of the δₙ resilience construct across high-complexity service domains, including homelessness, addiction and recovery, mental health interventions, and immigration case management. The study adopts a comparative, cross-jurisdictional design to assess whether a universal governance architecture can preserve structural invariance across different legal frameworks, administrative cultures, and service landscapes. A four-tier governance model—operational, technical, rights oversight, and independent evaluation—ensures methodological integrity, legal compliance, and protection against automated or discretionary rights erosion. Findings indicate improved routing coherence, reduced cross-agency contradictions, declining rights-tier deviations, and convergent δₙ stability patterns in both jurisdictions. The pilot provides empirical evidence supporting architecture-led governance reform and establishes a foundation for national scaling and future multilateral deployment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".