Race, Ethnicity, and Education Policy

2014 ◽  
Author(s):  
Jennifer L. Hochschild ◽  
Francis X. Shen
Keyword(s):  
No Child Left Behind ◽  
School Choice ◽  
Education Policy ◽  
Asian American ◽  
Race And Ethnicity ◽  
The United States ◽  
Future Research ◽  
Core Element ◽  
Race Ethnicity ◽  
The Impact

Persistent white–black disparities in education outcomes, combined with the growing presence of Asian American and especially Latino children, will make race and ethnicity a core element of education policy in the United States in the twenty-first century. This chapter explores, without resolving, a series of questions at the intersection of race, ethnicity, and American education policy. We review research evidence on persistent racial achievement gaps, race and school choice, the impact of No Child Left Behind, urban school governance, segregation, and the role of the courts in desegregation and school finance. We find that most questions about the best policies on these topics have no clear answers for several reasons explored in the chapter. Furthermore, future research must be reconceptualized since standard assumptions about group boundaries and group interests warrant reexamination. The study of education needs better data, improved methodologies, closer attention to class dynamics, and less partisan scholarship.

Immigration and Neighborhood Change: Methodological Possibilities for Future Research

2017 ◽  
Vol 16 (3) ◽  
pp. 244-251 ◽  
Author(s):  
Ariela Schachter ◽  
Max Besbris
Keyword(s):  
United States ◽  
Rental Housing ◽  
The United States ◽  
Neighborhood Change ◽  
Future Research ◽  
Online Data ◽  
Race Ethnicity ◽  
The Impact ◽  
Housing Options ◽  
Racial Ethnic

The recent settlement of immigrant populations into a wider range of geographies and communities across the United States raises new questions about the dynamics of residential segregation and complicates assumptions about how neighborhoods change—or don't—and why. While multiple theories attempt to explain the relationship between race/ethnicity, immigration, and neighborhood change, sociological examinations have been limited by the lack of systematic and frequently collected data. That is, the residential churn of neighborhoods, particularly in the market for rental housing where racial/ethnic minorities and immigrants predominate, often outpaces analysts’ ability to gather cross–neighborhood and cross–city data. In this essay we describe how online sources can help answer questions about race/ethnicity, immigration, and neighborhoods by providing large amounts of readily updatable data. An array of platforms designed to provide homeseekers with information about their housing options can also be used by sociologists for making claims about neighborhood change across multiple geographies. We review recent research that uses online data and describe an ongoing study by the authors that examines trends in the settlement patterns of immigrants and the rental housing market across the 50 largest MSAs in the United States. Online data sources can more accurately capture immigration and neighborhood processes, yielding better theories about the impact of immigration on neighborhood change.

Judicial Diversity in France: The Unspoken and the Unspeakable

2018 ◽  
Vol 43 (04) ◽  
pp. 1542-1573 ◽  
Author(s):  
Mathilde Cohen
Keyword(s):  
Race And Ethnicity ◽  
Qualitative Data ◽  
The United States ◽  
Future Research ◽  
Sexual Diversity ◽  
Legal Professionals ◽  
The Third ◽  
Race Ethnicity ◽  
Racial Ethnic ◽  
Shed Light

Despite the importance of judicial diversity for litigants and the broader public, no previous study has examined this issue within the French judiciary. This article begins to fill this gap by using original, qualitative data that shed light on judges’, prosecutors', and other legal actors' discourses on racial, ethnic, and sexual diversity. Its main contribution is to show that these legal professionals deploy three strategies—linguistic, institutional, and geographic—to dodge or downplay the relevance of race, ethnicity, and sexual orientation. The first, linguistic, form of avoidance lies in refusing to name and discuss race and ethnicity explicitly; the second, institutional, in denying that the judiciary has a diversity problem or that the problem lies within its power; and the third, geographic, consists in relegating the issue of diversity to distant places—the United States and overseas France. The article concludes by discussing key directions for future research.

Do Race and Ethnicity Matter? An Examination of Racial/Ethnic Differences in Perceptions of Procedural Justice and Recidivism Among Problem-Solving Court Clients

2017 ◽  
Vol 9 (2) ◽  
pp. 151-179 ◽  
Author(s):  
Cassandra A. Atkin-Plunk ◽  
Jennifer H. Peck ◽  
Gaylene S. Armstrong
Keyword(s):  
Problem Solving ◽  
Procedural Justice ◽  
Ethnic Differences ◽  
Race And Ethnicity ◽  
Policy Implications ◽  
Future Research ◽  
Convenience Sample ◽  
Problem Solving Courts ◽  
Race Ethnicity ◽  
The Impact

Over the years, a distinct body of research has emerged that examines procedural justice in problem-solving courts. However, there is virtually no research to date on racial and ethnic differences in perceptions of procedural justice among problem-solving court clients. The present study seeks to understand the complexities of judicial procedural justice and race/ethnicity within problem-solving courts. Using a convenience sample of 132 clients from two problem-solving courts in a southern state, this study addresses a void in the literature by examining the influence of race/ethnicity on perceptions of procedural justice as well as the impact of race/ethnicity and procedural justice on clients’ likelihood of recidivism. Results suggest that Black problem-solving court clients’ have significantly lower perceptions of procedural justice, while also having a lower likelihood of recidivism. Perceptions of procedural justice did not influence recidivism outcomes. Policy implications and recommendations for future research are discussed.

Race, Ethnicity, Crime, and Justice

Criminology ◽  
2009 ◽  
Author(s):  
Ramiro Martinez
Keyword(s):  
Criminal Justice ◽  
Ethnic Minorities ◽  
Race And Ethnicity ◽  
Large Body ◽  
Ethnic Disparities ◽  
The United States ◽  
Ethnic Composition ◽  
Racial And Ethnic Minorities ◽  
Race Ethnicity ◽  
The Impact

The study of race, ethnicity, crime, and justice usually involves research on racial and ethnic differences in crime and justice patterns or the overrepresentation of racial and ethnic minorities in the criminal justice system. Despite recognition that racial and ethnic variations in crime and justice exist, our knowledge on the sources and consequences of this linkage is incomplete. In part this is because the categories of race and ethnicity are evolving. Also, some of the racial and ethnic categories reported by criminal justice agencies are limited or require refinement. For example, some agencies do not always use the same racial and ethnic categories, particularly with respect to Latinos/Hispanics, and code victims or offenders as either white or black. Nevertheless, although current knowledge is limited, there is still a large body of research on the relationships among race, ethnicity, crime, and justice. Criminologists tend to favor examining the impact of racial or ethnic composition, net of other social and economic factors, on violent crimes such as homicide across cities, or they will examine racial- or ethnic-specific outcomes across communities. Some social scientists also examine the effects of race and ethnicity by examining the relationship between the police and racial and ethnic minorities, or perhaps variations in sentencing and incarceration in prisons, jails, and halfway houses. However one chooses to examine race, ethnicity, crime, and justice, there are considerable racial and ethnic disparities concerning this topic across the United States.

scholarly journals Trends in Esophageal Cancer Mortality and Stage at Diagnosis by Race and Ethnicity in the United States

2021 ◽  
Author(s):  
Edgar Corona ◽  
Liu Yang ◽  
Eric Esrailian ◽  
Kevin A. Ghassemi ◽  
Jeffrey L. Conklin ◽  
...  
Keyword(s):  
United States ◽  
Esophageal Cancer ◽  
Race And Ethnicity ◽  
The United States ◽  
Disease Stage ◽  
Stage Migration ◽  
Stage At Diagnosis ◽  
Annual Percent Change ◽  
Seer Data ◽  
Race Ethnicity

Abstract Introduction Esophageal cancer (EC) is an aggressive malignancy with poor prognosis. Mortality and disease stage at diagnosis are important indicators of improvements in cancer prevention and control. We examined United States trends in esophageal adenocarcinoma (EAC) and esophageal squamous cell carcinoma (ESCC) mortality and stage at diagnosis by race and ethnicity. Methods We used Surveillance, Epidemiology, and End Results (SEER) data to identify individuals with histologically confirmed EAC and ESCC between 1 January 1992 and 31 December 2016. For both EAC and ESCC, we calculated age-adjusted mortality and the proportion presenting at each stage by race/ethnicity, sex, and year. We then calculated the annual percent change (APC) in each indicator by race/ethnicity and examined changes over time. Results The study included 19,257 EAC cases and 15,162 ESCC cases. EAC mortality increased significantly overall and in non-Hispanic Whites from 1993 to 2012 and from 1993 to 2010, respectively. EAC mortality continued to rise among non-Hispanic Blacks (NHB) (APC = 1.60, p = 0.01). NHB experienced the fastest decline in ESCC mortality (APC = − 4.53, p < 0.001) yet maintained the highest mortality at the end of the study period. Proportions of late stage disease increased overall by 18.5 and 24.5 percentage points for EAC and ESCC respectively; trends varied by race/ethnicity. Conclusion We found notable differences in trends in EAC and ESCC mortality and stage at diagnosis by race/ethnicity. Stage migration resulting from improvements in diagnosis and treatment may partially explain recent trends in disease stage at diagnosis. Future efforts should identify factors driving current esophageal cancer disparities.

The Association Between Problem Recognition, Race/Ethnicity, and Professional Help-Seeking Intentions Across Psychological Disorders

2021 ◽  
pp. 216769682110004
Author(s):  
Ayanda Chakawa ◽  
Steven K. Shapiro
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Help Seeking ◽  
Mental Health Problems ◽  
The United States ◽  
Psychological Disorder ◽  
Future Research ◽  
Problem Recognition ◽  
Professional Help ◽  
Race Ethnicity

While 75% mental health problems emerge by young adulthood, there is a strong reluctance during this developmental stage to seek professional help. Although limitations in mental health literacy, such as incorrect problem recognition, may hinder professional help-seeking intentions, the relationship between these variables has been understudied among young adults in the United States (U.S.) and racial/ethnic differences in help-seeking intentions for specific disorders have not been well explored. Using a vignette-based design, the current study examines the association between psychological disorder recognition and professional help-seeking intentions among 1,585 Black/African American and White/European American young adults. Correctly identifying a psychological disorder was significantly associated with intentions to seek professional help for several disorders and race/ethnicity significantly influenced intentions to seek professional help for some disorders. Implications for ways to address unmet mental health care needs, especially among racially/ethnically diverse young adults, and directions for future research are discussed.

scholarly journals Recognizing Human Races through Machine Learning—A Multi-Network, Multi-Features Study

Mathematics ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 195
Author(s):  
Adrian Sergiu Darabant ◽  
Diana Borza ◽  
Radu Danescu
Keyword(s):  
Race And Ethnicity ◽  
Large Scale ◽  
Recognition Rate ◽  
Social Signals ◽  
Image Characteristics ◽  
Race Effect ◽  
Race Ethnicity ◽  
The Impact ◽  
Facial Images ◽  
Ethnicity Classification

The human face holds a privileged position in multi-disciplinary research as it conveys much information—demographical attributes (age, race, gender, ethnicity), social signals, emotion expression, and so forth. Studies have shown that due to the distribution of ethnicity/race in training datasets, biometric algorithms suffer from “cross race effect”—their performance is better on subjects closer to the “country of origin” of the algorithm. The contributions of this paper are two-fold: (a) first, we gathered, annotated and made public a large-scale database of (over 175,000) facial images by automatically crawling the Internet for celebrities’ images belonging to various ethnicity/races, and (b) we trained and compared four state of the art convolutional neural networks on the problem of race and ethnicity classification. To the best of our knowledge, this is the largest, data-balanced, publicly-available face database annotated with race and ethnicity information. We also studied the impact of various face traits and image characteristics on the race/ethnicity deep learning classification methods and compared the obtained results with the ones extracted from psychological studies and anthropomorphic studies. Extensive tests were performed in order to determine the facial features to which the networks are sensitive to. These tests and a recognition rate of 96.64% on the problem of human race classification demonstrate the effectiveness of the proposed solution.

The Impact of Race/Ethnicity on the Outcomes of Burn Patients: A Systematic Review of the Literature

2021 ◽  
Author(s):  
Jasmine Peters ◽  
Mariel S Bello ◽  
Leigh Spera ◽  
T Justin Gillenwater ◽  
Haig A Yenikomshian
Keyword(s):  
Systematic Review ◽  
Native American ◽  
The United States ◽  
Current Status ◽  
Surgical Trauma ◽  
Insurance Status ◽  
Inclusion Criteria ◽  
Burn Care ◽  
Race Ethnicity ◽  
The Impact

Abstract Racial and ethnic disparities are endemic to the United States and are only beginning to attract the attention of researchers. With an increasingly diverse population, focused and tailored medicine to provide more equitable care is needed. For surgical trauma populations, this topic is a small but expanding field and still rarely mentioned in burn medicine. Disparities in prevention, treatment, and recovery outcomes between different racial and ethnic minorities who are burned are rarely discussed. The purpose of this study is to determine the current status of identified disparities of care in the burn population literature and areas of future research. A systematic review was conducted of literature utilizing PubMed for articles published between 2000-2020. Searches were used to identify articles that crossed the burn term (burn patient OR burn recovery OR burn survivor OR burn care) and a race/ethnicity and insurance status-related term (race/ethnicity OR African-American OR Black OR Asian OR Hispanic OR Latino OR Native American OR Indigenous OR Mixed race OR 2 or more races OR socioeconomic status OR insurance status). Inclusion criteria were English studies in the US that discussed disparities in burn injury outcomes or risk factors associated with race/ethnicity. 1,169 papers were populated, 55 were reviewed, and 36 articles met inclusion criteria. Most studies showed minorities had poorer inpatient and outpatient outcomes. While this is a concerning trend, there is a paucity of literature in this field and more research is needed to create culturally-tailored medical care and address the needs of disadvantaged burn survivors.

scholarly journals Training Preservice Mental Health Counselors for Suicide Assessment: A Multiple Baseline Study

2019 ◽  
Author(s):  
Teal Bohrer ◽  
Cass Dykeman
Keyword(s):  
Mental Health ◽  
Suicidal Ideation ◽  
Self Efficacy ◽  
The United States ◽  
Multiple Baseline ◽  
Future Research ◽  
Probe Design ◽  
Mental Health Clinicians ◽  
Suicide Assessment ◽  
The Impact

Rates of death by suicide continue to increase across the United States. Mental health clinicians often have contact with individuals expressing suicidal ideation, but research suggests clinicians may not be appropriately prepared to assess a client’s suicide risk. Numerous models and theories explain and assess suicidal ideation. In 2009, Thomas Joiner and his colleagues proposed the interpersonal-psychological theory of suicide (IPT), which focused on three main factors strongly supported by research over the preceding decade. The present study utilized a nonconcurrent, multiple-baseline, multiple-probe design as well as a one-group pretest–posttest design to examine the impact of an IPT-based training model. Participants were preservice mental health clinicians currently enrolled in Master’s degree programs. Participants completed assessments on IPT knowledge and suicide-assessment self-efficacy, and results from this study indicated a significant increase in knowledge after completion of the training, as well as a slight decrease in self-efficacy. This study suggests that suicide-assessment training, even when done remotely, can increase suicide-assessment knowledge. Future research should explore preservice mental health clinicians’ self-efficacy as well as those factors influencing the confidence these professionals feel in their assessments of risk.

scholarly journals COVID-19 In United States: Statistical Analysis and Inferences From the Empirical Data

2021 ◽  
Author(s):  
Nivedita Rethnakar
Keyword(s):  
United States ◽  
Statistical Analysis ◽  
Statistical Inference ◽  
Empirical Data ◽  
Respiratory Diseases ◽  
Temporal Dynamics ◽  
The United States ◽  
Mortality Statistics ◽  
Race Ethnicity ◽  
The Impact

Abstract This paper investigates the mortality statistics of the COVID-19 pandemic from the United States perspective. Using empirical data analysis and statistical inference tools, we bring out several exciting and important aspects of the pandemic, otherwise hidden. Specific patterns seen in demo- graphics such as race/ethnicity and age are discussed both qualitatively and quantitatively. We also study the role played by factors such as population density. Connections between COVID-19 and other respiratory diseases are also covered in detail. The temporal dynamics of the COVID-19 outbreak and the impact of vaccines in controlling the pandemic are also looked at with suf- ficient rigor. It is hoped that statistical inference such as the ones gathered in this paper would be helpful for better scientific understanding, policy prepa- ration and thus adequately preparing, should a similar situation arise in the future.

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