Toward a Minor Tech:CRICHLOW5000 - Revision history

Simoon: /* Scaling Up, Scaling Down: Racialism in the Age of Big Data */

2023-09-14T15:39:40Z

Scaling Up, Scaling Down: Racialism in the Age of Big Data

Manetta: /* Scaling Up, Scaling Down: Racialism in the Age of Big Data */

2023-08-22T11:48:20Z

Scaling Up, Scaling Down: Racialism in the Age of Big Data

← Older revision		Revision as of 11:48, 22 August 2023
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	[[File:My Blue Window - Composition.00 02 24 00.Still045.jpg\|thumb\|642px\|Figure 1: American Artist, still from ''2015,'' 2019, Single-channel HD video, 21:38 minutes.]]		[[File:My Blue Window - Composition.00 02 24 00.Still045.jpg\|thumb\|642px\|Figure 1: American Artist, still from ''2015,'' 2019, Single-channel HD video, 21:38 minutes.]]

	~~<div class="page-break"></div>~~

	== Introduction ==		== Introduction ==

Simoon: /* Works cited */

2023-08-22T09:43:38Z

Works cited

← Older revision		Revision as of 09:43, 22 August 2023
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	DiCaglio, Joshua. ''Scale Theory : a Nondisciplinary Inquiry.'' University of Minnesota Press, 2021.		DiCaglio, Joshua. ''Scale Theory : a Nondisciplinary Inquiry.'' University of Minnesota Press, 2021.

	Doug Laney. “3D Data Management: Controlling Data Volume, Velocity, and Cariety”, ''Gartner'', File No. 949, 6 February 2001, ~~<nowiki>~~http://blogs~~</nowiki>~~.''gartner''.com/''doug''-''laney''/''files''/2012/01/''ad949''-''3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety''.pdf.		Doug Laney. “3D Data Management: Controlling Data Volume, Velocity, and Cariety”, ''Gartner'', File No. 949, 6 February 2001, http://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf.

	Gilroy, Paul. “Race Ends Here.” ''Ethnic and racial studies'', vol 21, no. 5, 1998, pp. 838–847.		Gilroy, Paul. “Race Ends Here.” ''Ethnic and racial studies'', vol 21, no. 5, 1998, pp. 838–847.

Manetta at 19:36, 21 July 2023

2023-07-21T19:36:09Z

← Older revision		Revision as of 19:36, 21 July 2023
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	'''Camille Crichlow'''		'''Camille Crichlow'''

	= Scaling Up, Scaling Down: =		= Scaling Up, Scaling Down: <br> Racialism in the Age of Big Data =
	= Racialism in the Age of Big Data =

	<span class="running-header">Scaling Up, Scaling Down: Racialism in the Age of Big Data</span>		<span class="running-header">Scaling Up, Scaling Down: Racialism in the Age of Big Data</span>

Simoon at 18:58, 21 July 2023

2023-07-21T18:58:03Z

← Older revision		Revision as of 18:58, 21 July 2023
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	__NOTOC__		__NOTOC__
	~~= Scaling Up, Scaling Down: Racialism in the Age of Big Data =~~
	'''Camille Crichlow'''		'''Camille Crichlow'''

			= Scaling Up, Scaling Down: =
			= Racialism in the Age of Big Data =

	<span class="running-header">Scaling Up, Scaling Down: Racialism in the Age of Big Data</span>		<span class="running-header">Scaling Up, Scaling Down: Racialism in the Age of Big Data</span>

Simoon at 18:57, 21 July 2023

2023-07-21T18:57:23Z

← Older revision		Revision as of 18:57, 21 July 2023
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	= Scaling Up, Scaling Down: Racialism in the Age of Big Data =		= Scaling Up, Scaling Down: Racialism in the Age of Big Data =
	'''Camille Crichlow'''		'''Camille Crichlow'''

			<span class="running-header">Scaling Up, Scaling Down: Racialism in the Age of Big Data</span>

	== Abstract ==		== Abstract ==

Manetta: /* Scaling Up, Scaling Down: Racialism in the Age of Big Data */

2023-07-21T18:33:33Z

Scaling Up, Scaling Down: Racialism in the Age of Big Data

← Older revision		Revision as of 18:33, 21 July 2023
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	This article explores the shifting terrain of racial discourse in the age and scalar magnitude of big data. Drawing from Paul Gilroy’s periodisation of racialism from Euclidian anatomy of the 19<sup>th</sup> century to the genomic revolution of the 1990’s, I show that race has ''always'' been deeply entwined with questions of scale and perception. Gilroy observed that emergent digital technologies afford potentially new ways of seeing the body, and subsequently, conceiving humanity in novel scales detached from the visual. Similar insights inform Than and Wark’s prescient account of ''racial formations as data formations'' – the idea that race is increasingly being produced as a cultivation of data-driven proxies and abstractions. In the context of ongoing logics of contemporary race, American Artist’s ''2015'' returns consideration to the ways in which residual, and emergent characteristics of racialism are embedded in everyday systems of predictive policing technology. Through multimedia intervention, Artist’s video work conveys racialism not as a single, static entity, but as a historical structure that mutates and evolves algorithmically across an ever-shifting geopolitical landscape of capital and power. In this instance, American Artist orchestrates one critical means to grasp racialism’s multiple forms, past and present, visual, and otherwise, towards future modalities and determinations not yet realised.		This article explores the shifting terrain of racial discourse in the age and scalar magnitude of big data. Drawing from Paul Gilroy’s periodisation of racialism from Euclidian anatomy of the 19<sup>th</sup> century to the genomic revolution of the 1990’s, I show that race has ''always'' been deeply entwined with questions of scale and perception. Gilroy observed that emergent digital technologies afford potentially new ways of seeing the body, and subsequently, conceiving humanity in novel scales detached from the visual. Similar insights inform Than and Wark’s prescient account of ''racial formations as data formations'' – the idea that race is increasingly being produced as a cultivation of data-driven proxies and abstractions. In the context of ongoing logics of contemporary race, American Artist’s ''2015'' returns consideration to the ways in which residual, and emergent characteristics of racialism are embedded in everyday systems of predictive policing technology. Through multimedia intervention, Artist’s video work conveys racialism not as a single, static entity, but as a historical structure that mutates and evolves algorithmically across an ever-shifting geopolitical landscape of capital and power. In this instance, American Artist orchestrates one critical means to grasp racialism’s multiple forms, past and present, visual, and otherwise, towards future modalities and determinations not yet realised.

			== Works cited ==
	<div class="workscited">		<div class="workscited">
	~~== Works cited ==~~
	Amaro, Ramon. ''The Black Technical Object: On Machine Learning and the Aspiration of Black Being''. Sternberg Press, 2023.		Amaro, Ramon. ''The Black Technical Object: On Machine Learning and the Aspiration of Black Being''. Sternberg Press, 2023.

Manetta: /* Scaling Up, Scaling Down: Racialism in the Age of Big Data */

2023-07-21T18:32:37Z

Scaling Up, Scaling Down: Racialism in the Age of Big Data

← Older revision		Revision as of 18:32, 21 July 2023
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	This article explores the shifting terrain of racial discourse in the age and scalar magnitude of big data. Drawing from Paul Gilroy’s periodisation of racialism from Euclidian anatomy of the 19<sup>th</sup> century to the genomic revolution of the 1990’s, I show that race has ''always'' been deeply entwined with questions of scale and perception. Gilroy observed that emergent digital technologies afford potentially new ways of seeing the body, and subsequently, conceiving humanity in novel scales detached from the visual. Similar insights inform Than and Wark’s prescient account of ''racial formations as data formations'' – the idea that race is increasingly being produced as a cultivation of data-driven proxies and abstractions. In the context of ongoing logics of contemporary race, American Artist’s ''2015'' returns consideration to the ways in which residual, and emergent characteristics of racialism are embedded in everyday systems of predictive policing technology. Through multimedia intervention, Artist’s video work conveys racialism not as a single, static entity, but as a historical structure that mutates and evolves algorithmically across an ever-shifting geopolitical landscape of capital and power. In this instance, American Artist orchestrates one critical means to grasp racialism’s multiple forms, past and present, visual, and otherwise, towards future modalities and determinations not yet realised.		This article explores the shifting terrain of racial discourse in the age and scalar magnitude of big data. Drawing from Paul Gilroy’s periodisation of racialism from Euclidian anatomy of the 19<sup>th</sup> century to the genomic revolution of the 1990’s, I show that race has ''always'' been deeply entwined with questions of scale and perception. Gilroy observed that emergent digital technologies afford potentially new ways of seeing the body, and subsequently, conceiving humanity in novel scales detached from the visual. Similar insights inform Than and Wark’s prescient account of ''racial formations as data formations'' – the idea that race is increasingly being produced as a cultivation of data-driven proxies and abstractions. In the context of ongoing logics of contemporary race, American Artist’s ''2015'' returns consideration to the ways in which residual, and emergent characteristics of racialism are embedded in everyday systems of predictive policing technology. Through multimedia intervention, Artist’s video work conveys racialism not as a single, static entity, but as a historical structure that mutates and evolves algorithmically across an ever-shifting geopolitical landscape of capital and power. In this instance, American Artist orchestrates one critical means to grasp racialism’s multiple forms, past and present, visual, and otherwise, towards future modalities and determinations not yet realised.

			<div class="workscited">
	== Works cited ==		== Works cited ==
	Amaro, Ramon. ''The Black Technical Object: On Machine Learning and the Aspiration of Black Being''. Sternberg Press, 2023.		Amaro, Ramon. ''The Black Technical Object: On Machine Learning and the Aspiration of Black Being''. Sternberg Press, 2023.
Line 127:		Line 128:

	Završnik, Aleš. “Algorithmic Justice: Algorithms and Big Data in Criminal Justice Settings.” ''European journal of criminology'', vol 18, no. 5, 2021, pp. 623–642.		Završnik, Aleš. “Algorithmic Justice: Algorithms and Big Data in Criminal Justice Settings.” ''European journal of criminology'', vol 18, no. 5, 2021, pp. 623–642.
			</div>

	[[Category:Toward a Minor Tech]]		[[Category:Toward a Minor Tech]]
	[[Category:5000 words]]		[[Category:5000 words]]

Simoon: /* Scaling Up, Scaling Down: Racialism in the Age of Big Data */

2023-07-17T14:39:35Z

Scaling Up, Scaling Down: Racialism in the Age of Big Data

← Older revision		Revision as of 14:39, 17 July 2023
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	[[File:My Blue Window - Composition.00 02 24 00.Still045.jpg\|thumb\|642px\|Figure 1: American Artist, still from ''2015,'' 2019, Single-channel HD video, 21:38 minutes.]]		[[File:My Blue Window - Composition.00 02 24 00.Still045.jpg\|thumb\|642px\|Figure 1: American Artist, still from ''2015,'' 2019, Single-channel HD video, 21:38 minutes.]]

			<div class="page-break"></div>

	== Introduction ==		== Introduction ==

Simoon at 14:26, 17 July 2023

2023-07-17T14:26:10Z

← Older revision		Revision as of 14:26, 17 July 2023
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	== Abstract ==		== Abstract ==
	This article explores the shifting perceptual scales of racial epistemology and anti-blackness in predictive policing technology. Following Paul Gilroy, I argue that the historical production of racism and anti-blackness has ''always'' been deeply entwined with questions of scale and perception. Where racialisation was once bound to the anatomical scale of the body, Thao Than and Scott Wark’s conceptualisation of “racial formations as data formations” inform insights into the ways in which “race”, or its 21<sup>st</sup> century successor, is increasingly being produced as a cultivation of post-visual, data-driven abstractions. I build upon analysis of this phenomena in the context of predictive policing, where analytically derived “patrol zones” produce virtual barriers that divide civilian from suspect. Beyond a “garbage in, garbage out” critique, I explore the ways in which predictive policing instils racialisation as an epiphenomenon of data-generated proxies. By way of conclusion, I analyse American Artist’s 21-minute video installation ''2015'' (2019), which depicts the point of view of a police patrol car equipped with a predictive policing device, to parse the scales upon which algorithmic regimes of racial domination are produced and resisted.		This article explores the shifting perceptual scales of racial epistemology and anti-blackness in predictive policing technology. Following Paul Gilroy, I argue that the historical production of racism and anti-blackness has ''always'' been deeply entwined with questions of scale and perception. Where racialisation was once bound to the anatomical scale of the body, Thao Than and Scott Wark’s conceptualisation of “racial formations as data formations” inform insights into the ways in which “race”, or its 21<sup>st</sup> century successor, is increasingly being produced as a cultivation of post-visual, data-driven abstractions. I build upon analysis of this phenomena in the context of predictive policing, where analytically derived “patrol zones” produce virtual barriers that divide civilian from suspect. Beyond a “garbage in, garbage out” critique, I explore the ways in which predictive policing instils racialisation as an epiphenomenon of data-generated proxies. By way of conclusion, I analyse American Artist’s 21-minute video installation ''2015'' (2019), which depicts the point of view of a police patrol car equipped with a predictive policing device, to parse the scales upon which algorithmic regimes of racial domination are produced and resisted.

			<div class="page-break"></div>

	[[File:My Blue Window - Composition.00 02 24 00.Still045.jpg\|thumb\|642px\|Figure 1: American Artist, still from ''2015,'' 2019, Single-channel HD video, 21:38 minutes.]]		[[File:My Blue Window - Composition.00 02 24 00.Still045.jpg\|thumb\|642px\|Figure 1: American Artist, still from ''2015,'' 2019, Single-channel HD video, 21:38 minutes.]]