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What’s at the Root of Inclusiveness
Workshop for CNN presented by Judith Mowry and Koffi Dessou, Office of Equity and Human Rights
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Portland and CNN demographics
Population (2016): 620,589 Number of households: 256,432 Population (2016): 54,545 Number of households: 21,230
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Population/Households by Income
Median household income Portland: $58,423; CNN: $65,719 CNN households at or below Portland median: 46% Range Households Pct Cum. Pct Under $10k 1,111 5% $10k-$19k 1,962 9% 14% $20k-$29k 1,695 8% 22% $30k-$39k 1,832 31% $40k-$49k 1,662 39% $50k-$59k 1,452 7% 46% $60k-$74k 2,363 11% 57% $75k-$99k 2,751 13% 70% $100k-$124k 2,129 10% 80% $125k-$150k 1,627 88% $150k or more 2,646 12% 100% Above Portland median as a whole
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Population by Race Portland CNN White 71.6% 70.5% 444,050 38,471 Black
444,050 38,471 Black 5.6% 6.6% 34,494 3,603 Native American 0.5% 0.4% 3,132 220 Asian 7.5% 6.8% 46,488 3,705 Hawaiian/Pacific Islander 0.6% 0.3% 3,819 176 Another race 0.2% 1,680 94 Two or more 4.3% 3.6% 26,886 1,968 Latino 9.7% 11.6% 60,040 6,308 Total 620,589 54,545
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Population by age Population by age, Central Northeast Neighborhoods
CNN Portland Under 18 years 11,161 21% Under 21 years 12,377 23% 133,681 22% Under 10 years 7,072 13% 68,921 11% 10 to 17 years 4,089 8% 44,636 7% 18 to 34 years 11,956 173,773 28% 35 to 64 years 25,192 47% 255,889 42% 65 years and over 5,577 10% 68,987
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Race by Age Approximately 30% of youth are youth of color (under 18)
White Black AIAN Asian NHPI Other Two+ Total Latino Under 5 years 2,656 182 6 123 32 49 623 3,671 717 5 to 9 years 2,330 334 179 17 96 432 3,388 838 10 to 14 years 1,955 345 111 173 195 2,779 808 15 to 17 years 968 165 7 167 8 23 79 1,417 185 18 and 19 years 580 77 42 54 67 820 153 20 to 24 years 1,790 226 13 407 21 61 2,518 308 25 to 29 years 3,118 311 237 30 149 148 3,993 538 30 to 34 years 3,668 243 192 137 279 4,546 496 35 to 44 years 8,337 512 107 553 282 361 10,158 1,150 45 to 54 years 6,744 81 546 36 124 284 8,327 606 55 to 64 years 5,588 436 25 664 126 169 7,008 388 65 to 74 years 3,332 14 268 9 65 3,884 53 75 to 84 years 998 110 225 27 39 26 1,425 58 85 years and over 560 24 10 611 Under 18 7,909 1,026 57 341 1,329 11,255 2,548 Approximately 30% of youth are youth of color (under 18) Approximately 29.5% of total CNN population is non-white Youth of color about same percentage as people of color in CNN area. City-wide youth of color is higher ? I’m trying to get that data % of youth almost same as City-wide
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Reducing Implicit Bias
Understanding and Reducing Implicit Bias
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Bias is the tendency to favor or disfavor
Group context: Bias is the evaluation of one group and its members relative to another. We all carry bias. Acting on bias can be discriminatory and create negative outcomes for particular groups.
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Unaware of bias, operates subconsciously
Explicit Bias Implicit Bias Aware of bias, operates consciously Unaware of bias, operates subconsciously
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Apartment office sign:
Bias Explicit Bias Implicit Bias Example: Apartment office sign: “We don’t rent to____” Example: Property managers are unaware that they do more criminal background checks on Blacks than Whites.
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Implicit Bias example: Identical résumés
“White-sounding” names had 50% more callbacks than “African-American-sounding” names.
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Implicit Bias examples
We unconsciously think about race even when we do not explicitly discuss it. Doctors are less likely to prescribe life-saving care to Blacks. Jurors tend to show biases against defendants of a different race. Medical: Employment: NBA: Jurors:
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What to do with bias? Acknowledge we all have it. Suppressing or denying biased thoughts can actually increase prejudice rather than eradicate it. Openly acknowledging and challenging biases allows us to develop strategic interventions.
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Combating Implicit Bias: Understanding Risk Factors
Risk Factor: Certain Emotional States Anger, disgust, frustration can heighten implicit bias of stigmatized group members, even if the emotion is unrelated to the current situation. Be aware of your emotional state and how it can impact your decision making.
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Risk Factor: Social Categories
Stereotypes are more likely to impact our thinking when we are talking about stigmatized social groups. When decision makers become conscious of the potential for prejudice, they often attempt to correct for it and are less likely to exhibit bias
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Risk Factor: Lack of critical thinking
Individuals decision makers tend to develop inferences or expectations about a person early on in the information-gathering process. These expectations then guide subsequent information processing. Engaging in more deliberative, effortful processing and critical thinking can counteract this inclination
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Avoid making decisions, when possible, under these conditions.
Risk factor: Distracted or pressured decision-making circumstances Fatigue, stress, political and time pressures can adversely affect our ability to make decisions that are less impacted by our implicit bias. Avoid making decisions, when possible, under these conditions.
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Additional Strategies
The popular “color blind” approach to egalitarianism (i.e., avoiding or ignoring race; lack of awareness of and sensitivity to differences between social groups) fails as an implicit bias intervention strategy. “Color blindness” actually produces greater implicit bias than strategies that acknowledge race. Identify and consciously acknowledge real group and individual differences.
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Routinely check thought processes and decisions for possible bias
Use decision support tools i.e. Equity Lens Review your reasoning in a decision Increasing exposure to stigmatized group members that contradicts the social stereotypes can help individuals negate stereotypes, affirm counter-stereotypes, and “unlearn” the associations that underlie implicit bias.
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Equity Lens How could my implicit bias be impacting how I think about this issue? How does this issue impact communities of color? How does this issue impact people with disabilities? Is there an opportunity to reduce disparities?
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