Racial capitalism

at
Categories
Tags

Explain the term “racial capitalism” by referring to Black Food Geographies. Using evidence from Black Food Geographies, Sweetness and Power, and The Garden, show how each text demonstrates the connection between food, race, and class in a world structured by racial capitalism?

Sample Solution

Racial capitalism

Capitalism is predicated upon a racialized hierarchy of gendered bodies and accompanying racialization of space: a heavily polluting aluminum smelting plant, crucial to US 21st century industrialization, employed Black laborers in the most physical demanding and hazardous jobs and dumped lethal industrial waste adjacent to the Black residential area. In recent years there has been a growing conversation amongst food scholars, activists and policymakers questioning the ability of community food projects to serve low-income communities of color (Alkon and Agyeman 2011; Allen 2010; Guthman 2008; Slocum 2006). Efforts for “inclusion” in community food projects will continue to struggle to build participation in communities of color if they do not shift the power structures that exist within the organization itself.

going away. It provides critical information, which for instance tells a criminal if it is safe for them to break into a house.
These cameras can also be used to replace the user ID/password authentication method to access computer systems to obtain services in the name of another person. Even though the new methods can effectively distinguish the real face from fake photos by calculating the depth of the face, it is not that hard to break into a system that uses facial recognition. [3][8] US senator Al Franken has given his opinion on the problem of this topic in an open letter to the creators of an app that uses facial recognition (i.e. NameTag): “Unlike other biometric identifiers such as iris scans and fingerprints, facial recognition is designed to operate at a distance, without the knowledge or consent of the person being identified,” he wrote. “Individuals cannot reasonably prevent themselves from being identified by cameras that could be anywhere – on a lamp post, attached to an unmanned aerial vehicle or, now, integrated into the eyewear of a stranger.”. [9]
ii. Racial/ethnic bias
Recent research suggests that the algorithms behind facial-recognition technology may suffer from a racial or ethnic bias: many algorithms expose differences in accuracy across race, gender and other demographics [10].

It is shown in a study by P. J. Phillips [22] that algorithms developed in East Asia recognized Asian faces far more accurately than Caucasian faces. The exact opposite was true for algorithms developed in Europe and the United states. This implies that the conditions in which an algorithm is created can influence the accuracy of its results. A possible explanation for this is that the developer of an algorithm may program it to focus on facial appearances that are more easily distinguishable in some races than in others [10][22].

It is not only in the way the algorithm is programmed. It is also in the way the algorithm is trained. It is possible that a certain algorithm has more experience with Asian faces than wit

This question has been answered.

Get Answer