Rubber Coated Steel
Rubber Coated Steel

Storyline

In 2014, artist and audio investigator Lawrence Abu Hamdan was asked to examine audio files that recorded the shots that killed Nadeem Nawara and Mohamed Abu Daher in the West Bank of Palestine. Rubber Coated Steel is a work that reflects on that process. It does not preside over the voices of the victims but seeks to amplify their silence, questioning the ways in which rights are being heard today. Set in a facility designed with one specific function “ to fire ammunition and silence the sound of the bullets fired “ Lawrence Abu Hamdan's Rubber Coated Steel (2016) is a video work which presents the fictitious trial of an actual murder case. The subtitles are a transcript drawn from a case focusing on an incident in May 2014, in which two unarmed teenagers, Nadeem Nawara and Mohamad Abu Daher, were shot and killed by Israeli soldiers in the occupied West Bank (Palestine). The case never came before a civil court. Instead, it was made public by the human rights organization Defence for Children International. Through Forensic Architecture, a Goldsmiths College-based agency that undertakes advanced architectural and media research, this organization worked with Lawrence Abu Hamdan to publish a report, including detailed audio analysis of the gunshots fired. Which ultimately proved the guilt of the soldiers. The piece acts as a kind of tribunal in absentia for these murders and the film into a new kind of legal scenography and a form of presentation of the evidence. Transforming the visitor, respectively the viewer into a juror. Emotions, dead bodies, loud sounds, ammunition sounds, and even the voice itself are all removed from the video. This is a silence that forces us to listen to sound which would be incomprehensible to most visitors, even if they were to hear it. The result is a levelling of the playing field between what is voiced and committed to language, and what is suppressed or willingly silenced.
Films of Palestine
Creadits - Data sources: Palestine Film Index Twitter
Language: