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Cited by 293

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Looking at Shirley, the Ultimate Norm: Colour Balance, Image Technologies, and Cognitive Equity

Roth, Lorna·2009·Canadian Journal of Communication

Abstract

Until recently, due to a light-skin bias embedded in colour film stock emulsions and digital camera design, the rendering of non-Caucasian skin tones was highly deficient and required the development of compensatory practices and technology improvements to redress its shortcomings. Using the emblematic “Shirley” norm reference card as a central metaphor reflecting the changing state of race relations/aesthetics, this essay analytically traces the colour adjustment processes in the industries of visual representation and identifies some prototypical changes in the field. The author contextualizes the history of these changes using three theoretical categories: the ‘technological unconscious’ (Vaccari, 1981), ‘dysconsciousness’ (King, 2001), and an original concept of ‘cognitive equity,’ which is proposed as an intelligent strategy for creating and promoting equity by inscribing a wider dynamic range of skin tones into image technologies, products, and emergent practices in the visual industries.

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Crossref · 10.22230/cjc.2009v34n1a2196

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Metadata

Authors
Roth, L.
Venue
Canadian Journal of Communication
Published
2009-03-30
Volume
34
Issue
1
Pages
111-136
ISSN
  • 0705-3657 (ISSN-L)
  • 1499-6642
OpenAlex
W2164930262
Cited by
293
References
18
FWCI
7.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Looking at Shirley, the Ultimate Norm: Colour Balance, Image Technologies, and Cognitive Equity. https://app.cochat.ai/papers/10.22230/cjc.2009v34n1a2196
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Roth, L. (2009). Looking at Shirley, the Ultimate Norm: Colour Balance, Image Technologies, and Cognitive Equity. Canadian Journal of Communication. https://doi.org/10.22230/cjc.2009v34n1a2196

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.