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Volume 7, Issue 11

The Incident Economy: Why Nothing Happens Until the Night Before Court

Axel Andersen7 pages232 KB

Abstract

Bureaucratic systems love numbers the way magpies love shiny things. This article presents the Court-Eve Activation Effect (CEAE): a reliable surge in administrative competence precisely one sleep before a final hearing. We also formalise the Funding-Evidence Treadmill (FET): when resolution requires government funding, action is deferred pending 'more evidence'—which means more incidents and escalated harm—until the night before court, when the evidence abruptly becomes 'compelling.'

Full Article

Further Reading

Different perspectives on related themes from the Journal.

Systemic Cognitive Dissonance: When Institutions Resolve Contradictions by Redefining Reality

There is a special kind of contradiction that only large systems can pull off with a straight face. The institutional kind where the organisation can simultaneously say 'We've learned from past harms' and 'We're rolling out a new model that recreates the same risk profile' while feeling morally refreshed. This is Systemic Cognitive Dissonance: a structural pattern where contradictions are not corrected—they are managed, rebranded, and exported into someone else's life.

Behaviour: A Field Guide to Diagnostic Overshadowing

This review argues that 'behaviour' is frequently deployed not as description but as an interpretive technology that produces diagnostic overshadowing: the conversion of pain, sensory distress, trauma responses, medical needs, and environmental mismatch into 'noncompliance' or 'behaviour of concern.' Drawing on Hacking's account of classification and Rosenhan's demonstration of institutional interpretive capture, this paper proposes that 'behaviour' functions as an administrative slot that can override alternative explanations and restrict access to support.

Closing the Distance: Explainable AI for Diagnosing Neurotypicality in Disability Assessors

This paper proposes a complex machine learning framework to diagnose high-risk neurotypicality in clinicians, bureaucrats, data scientists and 'innovation leaders' involved in algorithmic disability assessment. We hypothesise that the urge to algorithmically contain disabled people functions as a psychological distancing technology—allowing professionals to comply with policy without risking actual relationship. Our TabPFN-NeuroMix model outputs a Neurotypicality Proximity Avoidance Index (NPAI) with explainability via SHAP, repurposed as Shapley Ableism Partitioning.

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