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Using quantitative and qualitative data from a large national sample of lawyers, we examine self-reports of perceived discrimination in the legal workplace. Across three waves of surveys, we find that persons of color, white women, and LGBTQ attorneys are far more likely to perceive they have been a target of discrimination than white men. These differences hold in multivariate models that control for social background, status in the profession and the work organization, and characteristics of the work organization. Qualitative comments describing these experiences reveal that lawyers of different races, genders, and sexual orientations are exposed to distinctive types of bias, that supervisors and clients are the most frequent sources of discriminatory treatment, and the often-overt character of perceived discrimination. These self-reports suggest that bias in the legal workplace is widespread and rooted in the same hierarchies of race, gender, and sexual orientation that pervade society.
The History, Electrocardiogram (ECG), Age, Risk Factors, and Troponin (HEART) score is a decision aid designed to risk stratify emergency department (ED) patients with acute chest pain. It has been validated for ED use, but it has yet to be evaluated in a prehospital setting.
A prehospital modified HEART score can predict major adverse cardiac events (MACE) among undifferentiated chest pain patients transported to the ED.
A retrospective cohort study of patients with chest pain transported by two county-based Emergency Medical Service (EMS) agencies to a tertiary care center was conducted. Adults without ST-elevation myocardial infarction (STEMI) were included. Inter-facility transfers and those without a prehospital 12-lead ECG or an ED troponin measurement were excluded. Modified HEART scores were calculated by study investigators using a standardized data collection tool for each patient. All MACE (death, myocardial infarction [MI], or coronary revascularization) were determined by record review at 30 days. The sensitivity and negative predictive values (NPVs) for MACE at 30 days were calculated.
Over the study period, 794 patients met inclusion criteria. A MACE at 30 days was present in 10.7% (85/794) of patients with 12 deaths (1.5%), 66 MIs (8.3%), and 12 coronary revascularizations without MI (1.5%). The modified HEART score identified 33.2% (264/794) of patients as low risk. Among low-risk patients, 1.9% (5/264) had MACE (two MIs and three revascularizations without MI). The sensitivity and NPV for 30-day MACE was 94.1% (95% CI, 86.8-98.1) and 98.1% (95% CI, 95.6-99.4), respectively.
Prehospital modified HEART scores have a high NPV for MACE at 30 days. A study in which prehospital providers prospectively apply this decision aid is warranted.
Whether monozygotic (MZ) and dizygotic (DZ) twins differ from each other in a variety of phenotypes is important for genetic twin modeling and for inferences made from twin studies in general. We analyzed whether there were differences in individual, maternal and paternal education between MZ and DZ twins in a large pooled dataset. Information was gathered on individual education for 218,362 adult twins from 27 twin cohorts (53% females; 39% MZ twins), and on maternal and paternal education for 147,315 and 143,056 twins respectively, from 28 twin cohorts (52% females; 38% MZ twins). Together, we had information on individual or parental education from 42 twin cohorts representing 19 countries. The original education classifications were transformed to education years and analyzed using linear regression models. Overall, MZ males had 0.26 (95% CI [0.21, 0.31]) years and MZ females 0.17 (95% CI [0.12, 0.21]) years longer education than DZ twins. The zygosity difference became smaller in more recent birth cohorts for both males and females. Parental education was somewhat longer for fathers of DZ twins in cohorts born in 1990–1999 (0.16 years, 95% CI [0.08, 0.25]) and 2000 or later (0.11 years, 95% CI [0.00, 0.22]), compared with fathers of MZ twins. The results show that the years of both individual and parental education are largely similar in MZ and DZ twins. We suggest that the socio-economic differences between MZ and DZ twins are so small that inferences based upon genetic modeling of twin data are not affected.
This paper aims to situate functional abstraction in light of systems thinking. While function does not extensively appear in systems thinking literature, the literature does identify function as part of systems thinking that enables us to recognize and connect that function has a role in building a systems thinking approach for students. A systems thinking approach is valuable for students since it helps them view a system holistically. In this research, we measure how well students are able to abstract function. We asked students to generate functions for two different products and examined how students taught functional modeling and function enumeration compare to students who are only taught function enumeration. The student responses were examined using a rubric that we developed and validated for assessing function. This rubric may be used to classify functions by correctness (correct, partially correct, and incorrect) and categories (high level, interface, low level, and ambiguous). On questions where students were not explicitly asked to write a high-level function or low-level function, and so on, students who were taught functional modeling were able to better demonstrate systems thinking in their responses (low-level and interface functions) than those students who were only taught function enumeration.
Myrick, Nelson and Nielson evaluate the role of race in the decision to file pro se in employment discrimination litigation. The authors show that black plaintiffs are 2.5 times more likely to file pro se than white plaintiffs, a disparity that is larger than any other plaintiff characteristics tested, including sex and occupation. Data from employment discrimination cases further indicate that pro se plaintiffs have significantly worse litigation outcomes than those with representation.
This chapter uses statistical analysis to show that minority plaintiffs in employment discrimination lawsuits – in particular African Americans – are much more likely than white plaintiffs to file without a lawyer. This difference is salient because pro se plaintiffs have significantly worse litigation outcomes than those with representation. Furthermore, we show that pro se plaintiffs tend to misunderstand their legal issues and feel that the courts have failed them. While past access to justice initiatives have addressed these negative consequences of lacking a lawyer, they have not systematically examined racial differences in representation rates, or tried to explain why these differences exist. Remarkably, access to justice approaches have largely overlooked race, instead focusing primarily on poverty as a barrier to finding a lawyer. This chapter shows that race matters in representation rates. It then examines possible reasons for this ignored but troubling disparity. We show that race operates in complex ways, both for minority plaintiffs seeking lawyers, and for the lawyers who decide whether to accept them as clients.
PRO SE LITIGATION: DATA AND PAST FINDINGS
Compared to represented plaintiffs, pro se plaintiffs were significantly more likely to have their cases dismissed or lose on summary judgment, and were less likely to reach early settlement. This empirical evidence proving the serious disadvantage that pro se status entails is consistent with other access to justice research on various types of legal action. Although we know of no other studies that look specifically at the outcomes for pro se employment discrimination plaintiffs, a growing body of work shows that employment discrimination litigation in general disfavors plaintiffs. In addition, research on pro se plaintiffs suggests that they suffer most when they file claims involving complex or document-intensive areas of law, and that such issues may compel plaintiffs to seek an attorney instead of attempting to self-represent.
Expressions of support for diversity are nearly ubiquitous among contemporary law firms and corporations. Organizations back these rhetorical commitments with dedicated diversity staff and various diversity and inclusion initiatives. Yet, the goal of proportionate representation for people of color and women remains unrealized. Members of historically underrepresented groups remain seriously disadvantaged in professional training and work environments that white, upper-class men continue to dominate. While many professional labor markets manifest patterns of demographic inequality, these patterns are particularly pronounced in the law and elite segments of many professions. Diversity in Practice analyzes the disconnect between expressed commitments to diversity and practical achievements, revealing the often obscure systemic causes that drive persistent professional inequalities. These original contributions build on existing literature and forge new paths in explaining enduring patterns of stratification in professional careers. These more realistic assessments provide opportunities to move beyond mere rhetoric to something approaching diversity in practice.
We analyzed birth order differences in means and variances of height and body mass index (BMI) in monozygotic (MZ) and dizygotic (DZ) twins from infancy to old age. The data were derived from the international CODATwins database. The total number of height and BMI measures from 0.5 to 79.5 years of age was 397,466. As expected, first-born twins had greater birth weight than second-born twins. With respect to height, first-born twins were slightly taller than second-born twins in childhood. After adjusting the results for birth weight, the birth order differences decreased and were no longer statistically significant. First-born twins had greater BMI than the second-born twins over childhood and adolescence. After adjusting the results for birth weight, birth order was still associated with BMI until 12 years of age. No interaction effect between birth order and zygosity was found. Only limited evidence was found that birth order influenced variances of height or BMI. The results were similar among boys and girls and also in MZ and DZ twins. Overall, the differences in height and BMI between first- and second-born twins were modest even in early childhood, while adjustment for birth weight reduced the birth order differences but did not remove them for BMI.
A trend toward greater body size in dizygotic (DZ) than in monozygotic (MZ) twins has been suggested by some but not all studies, and this difference may also vary by age. We analyzed zygosity differences in mean values and variances of height and body mass index (BMI) among male and female twins from infancy to old age. Data were derived from an international database of 54 twin cohorts participating in the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins), and included 842,951 height and BMI measurements from twins aged 1 to 102 years. The results showed that DZ twins were consistently taller than MZ twins, with differences of up to 2.0 cm in childhood and adolescence and up to 0.9 cm in adulthood. Similarly, a greater mean BMI of up to 0.3 kg/m2 in childhood and adolescence and up to 0.2 kg/m2 in adulthood was observed in DZ twins, although the pattern was less consistent. DZ twins presented up to 1.7% greater height and 1.9% greater BMI than MZ twins; these percentage differences were largest in middle and late childhood and decreased with age in both sexes. The variance of height was similar in MZ and DZ twins at most ages. In contrast, the variance of BMI was significantly higher in DZ than in MZ twins, particularly in childhood. In conclusion, DZ twins were generally taller and had greater BMI than MZ twins, but the differences decreased with age in both sexes.
For over 100 years, the genetics of human anthropometric traits has attracted scientific interest. In particular, height and body mass index (BMI, calculated as kg/m2) have been under intensive genetic research. However, it is still largely unknown whether and how heritability estimates vary between human populations. Opportunities to address this question have increased recently because of the establishment of many new twin cohorts and the increasing accumulation of data in established twin cohorts. We started a new research project to analyze systematically (1) the variation of heritability estimates of height, BMI and their trajectories over the life course between birth cohorts, ethnicities and countries, and (2) to study the effects of birth-related factors, education and smoking on these anthropometric traits and whether these effects vary between twin cohorts. We identified 67 twin projects, including both monozygotic (MZ) and dizygotic (DZ) twins, using various sources. We asked for individual level data on height and weight including repeated measurements, birth related traits, background variables, education and smoking. By the end of 2014, 48 projects participated. Together, we have 893,458 height and weight measures (52% females) from 434,723 twin individuals, including 201,192 complete twin pairs (40% monozygotic, 40% same-sex dizygotic and 20% opposite-sex dizygotic) representing 22 countries. This project demonstrates that large-scale international twin studies are feasible and can promote the use of existing data for novel research purposes.