Document (#24054)

Author

Reischke, R.

Title

¬The injury project

Source

Knowledge organization. 27(2000) no.3, S.109-121

Year

2000

Abstract

This work is an attempt to visually document all established mechanisms of an injury event. It is based upon the World Health Organization document, International Classification of Diseases - The External Causes Code, that demarcates and categorizes all possible combinations of mechanisms of injury as several thousand E-codes. The repetitive, non-descriptive noun and verb use, translating injury events, present a curiously obscure version of a real, unique, often traumatic and personal experience. Highly edited, transplanted and all specific references lost, the reader of this World Health Organization document must supply their own specific interpretation. The External Cause Codes, obsessed with quantifiable detail, remain fragmentary. These codes indicate extensive exclusions and abstract divisions - difference pushed to indifference. The Injury Project accentuates this vague and outrageously arbitrary principle of word selection inherent within this conventional, formal and scientific document. As an example, The Injury Project - Traffic Series is one of several series from The External Cause Codes in the original exhibition. It includes thirty-two digital image groups. Referencing the established sequence of words appearing in a select number of E-codes, (all injury events that involve the "mechanism" of injury as Traffic) each image group incorporates a procession of generic visual images attempting to objectively represent the nonspecific words used. Thus, the image group entitled Traffic, MC vs. highway Object includes three images within a frame: an image of "Traffic," an image of a "MC" (motorcycle) and an image depicting "Highway Object". Titles for each framed image correspond directly with the sequenced E-code numbers and word descriptions as they exist within The External Causes Code document. The selection that follows includes pairs selected from six different series. Images are selected from stock photography

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