Obligation Closure Constraint (OCC): The First Principle
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2025
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| _version_ | 1866902328957730816 |
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| author | Espeleta, Kyle |
| author_facet | Espeleta, Kyle |
| contents | <h2>DESCRIPTION</h2> <p>OCC is a falsifiable constraint on completion rates in systems where humans must make defensible, contestable decisions.</p> <p><strong>The core claim:</strong> Durable completion rate cannot exceed verification capacity divided by verification effort per item. When more decisions require checking than capacity allows, the gap must manifest as observable outputs—backlog growth, rework, displacement to other parties, declining quality standards, or persistent degradation after overload.</p> <p>Modern large-scale coordination increases complexity, change rate, and required standards faster than human decision-making capacity scales. This creates a structural mismatch that worsens over time independent of institutional intent or effort.</p> <p>The constraint applies to any consequence-bearing boundary requiring accountable human judgment: courts, healthcare administration, permitting, insurance adjudication, safety certification, and high-stakes review processes in software and operations.</p> <p>This document provides the theoretical foundation for OCC. Companion records provide formal specification, measurement protocol, and empirical deployments.</p> <p><strong>Empirical Deployments (Tier-1):</strong></p> <p>Three case studies have been executed using the OCC framework, demonstrating its ability to discriminate between sustainable and overloaded regimes:</p> <ol> <li><strong>Washington, DC FOIA Request Processing (2020–2025)</strong> — Regime diagnosis: <em>Busy but stuck</em>. DCR ≈ 0.88, stock grew from ~1 to >3,360 cases. DOI: <a href="10.5281/zenodo.18073749">10.5281/zenodo.18073749</a></li> <li><strong>Philadelphia L&I Appeals Processing (2010–2018)</strong> — Regime diagnosis: <em>Busy but stuck</em>. DCR ≈ 0.92, stock grew from 202 to 1,983 cases. DOI: <a href="10.5281/zenodo.18076572">10.5281/zenodo.18076572</a></li> <li><strong>City of Vancouver Building Permits (2018–2025)</strong> — Regime diagnosis: <em>Sustainable</em>. DCR ≈ 1.04, stock declined from 494 to zero. DOI: <a href="10.5281/zenodo.18077993">10.5281/zenodo.18077993</a></li> </ol> <p>These deployments confirm the framework's core discriminative capacity: identical methodology applied to different systems produces divergent regime classifications that match observed stock dynamics.</p> <h2>Related Identifiers</h2> <p>Add all three as "IsSupplementedBy":</p> <ul> <li><a href="https://doi.org/10.5281/zenodo.18073749">https://doi.org/10.5281/zenodo.18073749</a></li> <li><a href="https://doi.org/10.5281/zenodo.18076572">https://doi.org/10.5281/zenodo.18076572</a></li> <li><a href="https://doi.org/10.5281/zenodo.18077993">https://doi.org/10.5281/zenodo.18077993</a></li> </ul> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18078076 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Obligation Closure Constraint (OCC): The First Principle Espeleta, Kyle operator closure constraint queueing systems and control rate–distortion auditability backlog rework hysteresis <h2>DESCRIPTION</h2> <p>OCC is a falsifiable constraint on completion rates in systems where humans must make defensible, contestable decisions.</p> <p><strong>The core claim:</strong> Durable completion rate cannot exceed verification capacity divided by verification effort per item. When more decisions require checking than capacity allows, the gap must manifest as observable outputs—backlog growth, rework, displacement to other parties, declining quality standards, or persistent degradation after overload.</p> <p>Modern large-scale coordination increases complexity, change rate, and required standards faster than human decision-making capacity scales. This creates a structural mismatch that worsens over time independent of institutional intent or effort.</p> <p>The constraint applies to any consequence-bearing boundary requiring accountable human judgment: courts, healthcare administration, permitting, insurance adjudication, safety certification, and high-stakes review processes in software and operations.</p> <p>This document provides the theoretical foundation for OCC. Companion records provide formal specification, measurement protocol, and empirical deployments.</p> <p><strong>Empirical Deployments (Tier-1):</strong></p> <p>Three case studies have been executed using the OCC framework, demonstrating its ability to discriminate between sustainable and overloaded regimes:</p> <ol> <li><strong>Washington, DC FOIA Request Processing (2020–2025)</strong> — Regime diagnosis: <em>Busy but stuck</em>. DCR ≈ 0.88, stock grew from ~1 to >3,360 cases. DOI: <a href="10.5281/zenodo.18073749">10.5281/zenodo.18073749</a></li> <li><strong>Philadelphia L&I Appeals Processing (2010–2018)</strong> — Regime diagnosis: <em>Busy but stuck</em>. DCR ≈ 0.92, stock grew from 202 to 1,983 cases. DOI: <a href="10.5281/zenodo.18076572">10.5281/zenodo.18076572</a></li> <li><strong>City of Vancouver Building Permits (2018–2025)</strong> — Regime diagnosis: <em>Sustainable</em>. DCR ≈ 1.04, stock declined from 494 to zero. DOI: <a href="10.5281/zenodo.18077993">10.5281/zenodo.18077993</a></li> </ol> <p>These deployments confirm the framework's core discriminative capacity: identical methodology applied to different systems produces divergent regime classifications that match observed stock dynamics.</p> <h2>Related Identifiers</h2> <p>Add all three as "IsSupplementedBy":</p> <ul> <li><a href="https://doi.org/10.5281/zenodo.18073749">https://doi.org/10.5281/zenodo.18073749</a></li> <li><a href="https://doi.org/10.5281/zenodo.18076572">https://doi.org/10.5281/zenodo.18076572</a></li> <li><a href="https://doi.org/10.5281/zenodo.18077993">https://doi.org/10.5281/zenodo.18077993</a></li> </ul> |
| title | Obligation Closure Constraint (OCC): The First Principle |
| topic | operator closure constraint queueing systems and control rate–distortion auditability backlog rework hysteresis |
| url | https://doi.org/10.5281/zenodo.18078076 |