We Need More Resources: Stories of QTPOC* Survival in the South

While men’s sexual violence against women is unarguably a social and public health issue, both nationally representative data and smaller studies tell us that rates for lesbian, gay, bisexual, transgender, and queer+ (LGBTQ+) individuals are equally or significantly higher. Despite this, there remains little structural support for LGBTQ?+?survivors. This article highlights the voices of 38 queer and trans people of color (QTPOC)-identified U.S. Southerners who have experienced sexual violence and came together across three focus groups to detail their interactions with advocates and other professionals and explore posttraumatic needs. Nearly all survivors reported that the level of awareness regarding sexual violence in their communities was limited, with most reporting that they did not successfully access mainstream services, due to concerns about homophobia, transphobia, and racism. To address sexual violence in LGBTQ?+?communities, survivors pointed to the importance of friendship and community networks “outside the system,” knowledge sharing about LGBTQ+-specific violence tactics (e.g., threats of outing a partner), and holding batterers accountable for their behavior within LGBTQ?+?circles. Findings highlight the need to move beyond “culturally competent” health care by proactively engaging LGBTQ?+?communities in education, networking, resource sharing, and anti-violence outreach.     

Unpacking internalized racism: teachers of color striving for racially just classrooms

Within racial inequitable educational conditions, students of color in US schools are susceptible to internalizing racism. If these students go on to be teachers, the consequences can be particularly detrimental if internalized racism influences their teaching. Framed in Critical Race Theory, this article investigates the process pre-service teachers of color took in unpacking their internalized racism as they strive for racially just classrooms. In-depth interviews and focus groups were conducted with black (four) Latina (four) and Asian American (four) women enrolled in a social justice-oriented urban teacher education program in California. Data revealed that participants in this study: (1) had experienced racism and internalized racism in their K-12 education; (2) had done self-work prior to enrolling in their teacher education program to begin the process of unpacking internalized racism; and (3) felt that critical dialogues about internalized racism within teacher preparation was essential to develop pedagogy that challenges racial inequality. This study adds to the field by taking a cross-racial approach to understanding the struggles of teachers of color with internalized racism in their own lives. It additionally outlines an important process many teachers of color go through to develop racially just classrooms.     

“I'm in this world for a reason”: Resilience and recovery among American Indian and Alaska Native two-spirit women

ABSTRACT

American Indian and Alaska Native sexual minority (two-spirit) women are vulnerable to substance misuse and mental health challenges due to multiple minority oppressed status and exposure to stress and trauma. Yet, these women find pathways toward healing and wellness. We conducted a qualitative data analysis of interviews derived from a national health study and gained an understanding of 11 two-spirit women's resilience and recovery patterns. Emergent from the data, a braided resiliency framework was developed which elucidates multilayered abilities, processes, and resources involved in their resiliency. We recommend that resilience-promoting strategies be incorporated into substance misuse and mental health interventions.     

Robust multivariate Bayesian forecasting under functional distortions in the -metric

This paper investigates robustness of multivariate forecasting in the Bayesian framework. The minimax approach is used to construct robust statistical procedures under deviations from hypothetical assumptions. The deviations are defined as functional distortions using the χ²-pseudo-metric. Two cases of deviations are considered: distortions of parameter distribution and distortions of joint distribution of observations and parameters. Explicit forms for the guaranteed upper risk functional are obtained and integral equations for robust prediction statistics are given for both cases.     

Korean American social studies teachers’ perceptions and experiences of teaching profession in multicultural urban high schools

This study explores two Korean American social studies teachers’ perceptions and experiences of the teaching profession in multicultural, urban public high schools. Drawing upon critical race theory (CRT) and its interconnection to the model minority myth, the most dominant form of racism against Asians as theoretical underpinnings, this study focuses on: (1) Korean American teachers’ unique experiences of being racial minority educators teaching a contentious subject like social studies within culturally and linguistically diverse school settings; and (2) the influences of the model minority racial stereotype on the teachers’ career choice, professional experiences, and associated coping strategies. This study aims to shed light on the heterogeneous stories and ethnoracially contextualized teaching experiences of Asian American teachers and to provide meaningful insights into and practical implications for the preparation and retention of teachers of color.     

论苏童小说创作中的色彩意象

作家靠感觉来描述内心世界,不同的作家依靠不同的感觉,当代作家苏童更注重视觉意象的描摹以及色彩给他的冲击力,他运用色彩意象营造和建构人物,用红黑两色表达死亡和罪恶,黑白色彩则创造了唯美飞扬的神话风格,色彩的运用不仅表达了他对感觉的体验,也显示了他超出寻常的想象力以及童年生活对其创作的影响。     

Do colored cells in risk matrices affect decision-making and risk perception? Insights from randomized controlled studies

Risk matrices communicate the likelihood and potential impact of risks and are often used to inform decision-making around risk mitigations. The merits and demerits of risk matrices in general have been discussed extensively, yet little attention has been paid to the potential influence of color in risk matrices on their users. We draw from fuzzy-trace theory and hypothesize that when color is present, individuals are likely to place greater value on reducing risks that cross color boundaries (i.e., the boundary-crossing effect), leading to sub-optimal decision making. In two randomized controlled studies, employing forced-choice and willingness-to-pay measures to investigate the boundary-crossing effect in two different color formats for risk matrices, we find preliminary evidence to support our hypotheses that color can influence decision making. The evidence also suggests that the boundary-crossing effect is only present in, or is stronger for, higher numeracy individuals. We therefore recommend that designers should consider avoiding color in risk matrices, particularly in situations where these are likely to be used by highly numerate individuals, if the communication goal is to inform in an unbiased way.     

元散曲中的青山意象

在元散曲中，青山意象多次出现，不仅作为客观的景物存在，还具有很多内在的与主观的含义。在隐逸之作中，它既是文 人的心灵归处和精神家园，又是文人的伴侣与知己；在抒怀之作中，它既反衬了历史的虚无又是世事变幻的参照；在相思之作 中，它是女子的屏障，隔断了她们眺望情人的视线；在写景之作中，它提供了色彩的叠加与对比。     

Classification Algorithm for Skin Color (CASCo): A new tool to measure skin color in social science research

Objective

A growing body of literature reveals that skin color has significant effects on people's income, health, education, and employment. However, the ways in which skin color has been measured in empirical research have been criticized for being inaccurate, if not subjective and biased.

Objective

Introduce an objective, automatic, accessible and customizable Classification Algorithm for Skin Color (CASCo).

Methods

We review the methods traditionally used to measure skin color (verbal scales, visual aids or color palettes, photo elicitation, spectrometers and image-based algorithms), noting their shortcomings. We highlight the need for a different tool to measure skin color

Results

We present CASCo, a (social researcher-friendly) Python library that uses face detection, skin segmentation and k-means clustering algorithms to determine the skin tone category of portraits.

Conclusion

After assessing the merits and shortcomings of all the methods available, we argue CASCo is well equipped to overcome most challenges and objections posed against its alternatives. While acknowledging its limitations, we contend that CASCo should complement researchers. toolkit in this area.