Analysis Of Denial Research Articles

Denial, Responsibility, Bad Faith, and Blues in Lewis Gordon’s Fear of Black Consciousness

Lewis R. Gordon investigates myriad questions in Fear of Black Consciousness (2022). He brings out the complexity of Black consciousness and the psychological, ontological, and epistemic upheavals that it provokes in a White world. Gordon examines contradictions, paradoxes, and aporias that find their coherence in his continual call to an emerging form of transcendence. Struck by Gordon’s analysis of denial, responsibility, bad faith, and the blues, the author does not explain or summarize Gordon’s thought but rather uses it as a base for an exploration of the psychic life of White power. Denial and bad faith are not mere features of this psychic life; rather, they are fundamental conditions for its continued refusal to acknowledge the epistemic and ontological dimensions of Black humanity. This discussion essay examines how Gordon allows us to see the blues as a musical genre whose relationship to suffering reflects a responsible and liberating way of existing in the world.

Killing on camera: visual evidence, denial and accountability in armed conflict

This article examines the recent conviction of a member of the Israeli armed forces for shooting a Palestinian hors combat—and the associated media storm. Drawing on Stanley Cohen’s analysis of denial, I argue that rather than marking a humanitarian legal advance, these events instead signify a disturbing public normative retreat.

A Framework for the Analysis of Denial of Service Attacks

We develop a framework for the analysis of Denial of Service (DoS) attacks in computer networks. In this framework, we identify the components and resources that collectively and in time, construct a service that may become unavailable due to the unavailability of those resources as a result of a DoS. We also construct the notion of service resilience pre-ordering to compare the effectiveness of solutions proposed to improve a system’s resilience against DoS. We apply our framework and methods to some cases, and show their usefulness and applicability in practice.