Internet Daters’ Body Types Preferences: Race-Ethnic and Gender Differences

Employing a United States sample of 5,810 Yahoo heterosexual internet dating profiles, this study finds race–ethnicity and gender influence body type preferences for dates, with men and whites significantly more likely than women and non-whites to have such preferences. White males are more likely than non-white men to prefer to date thin and toned women, while African-American and Latino men are significantly more likely than white men to prefer female dates with thick or large bodies. Compatible with previous research showing non-whites have greater body satisfaction and are less influenced by mainstream media than whites, our findings suggest Latinos and African Americans negotiate dominant white idealizations of thin female bodies with their own cultures’ greater acceptance of larger body types

Educational optimism in China: migrant selectivity or migration experience?

This paper addresses the so-called paradox of immigrant optimism, which accounts for the higher educational expectations of immigrant–origin children, compared to non-immigrants in destination countries, conditional on social background and school attainment. We are interested in clarifying whether the mechanisms behind this optimism are related to migrant selectivity or family migration experience. To do this we use data from the China Education Panel Study, a representative survey of junior high school students in China. We use a two-pronged analytical strategy. Firstly, we look at whether having experienced family migration (within China) is associated with higher educational expectations. Secondly, we take a step back and explore whether adolescents who wish to migrate themselves when they grow up report higher educational expectations. Our findings confirm that adolescents who wish to migrate themselves when adults are already more optimistic even before any intentions of moving come to fruition. This we take as an indirect proof of selectivity. In contrast, we find no effect of family migration on expectations

Genomic analyses in Cornelia de Lange Syndrome and related diagnoses: Novel candidate genes, <scp>genotype–phenotype</scp> correlations and common mechanisms

Cornelia de Lange Syndrome (CdLS) is a rare, dominantly inherited multisystem developmental disorder characterized by highly variable manifestations of growth and developmental delays, upper limb involvement, hypertrichosis, cardiac, gastrointestinal, craniofacial, and other systemic features. Pathogenic variants in genes encoding cohesin complex structural subunits and regulatory proteins (NIPBL, SMC1A, SMC3, HDAC8, and RAD21) are the major pathogenic contributors to CdLS. Heterozygous or hemizygous variants in the genes encoding these five proteins have been found to be contributory to CdLS, with variants in NIPBL accounting for the majority (&gt;60%) of cases, and the only gene identified to date that results in the severe or classic form of CdLS when mutated. Pathogenic variants in cohesin genes other than NIPBL tend to result in a less severe phenotype. Causative variants in additional genes, such as ANKRD11, EP300, AFF4, TAF1, and BRD4, can cause a CdLS‐like phenotype. The common role that these genes, and others, play as critical regulators of developmental transcriptional control has led to the conditions they cause being referred to as disorders of transcriptional regulation (or “DTRs”). Here, we report the results of a comprehensive molecular analysis in a cohort of 716 probands with typical and atypical CdLS in order to delineate the genetic contribution of causative variants in cohesin complex genes as well as novel candidate genes, genotype–phenotype correlations, and the utility of genome sequencing in understanding the mutational landscape in this population

Internet Daters’ Body Type Preferences: Race–Ethnic and Gender Differences

Employing a United States sample of 5,810 Yahoo heterosexual internet dating profiles, this study finds race–ethnicity and gender influence body type preferences for dates, with men and whites significantly more likely than women and non-whites to have such preferences. White males are more likely than non-white men to prefer to date thin and toned women, while African-American and Latino men are significantly more likely than white men to prefer female dates with thick or large bodies. Compatible with previous research showing non-whites have greater body satisfaction and are less influenced by mainstream media than whites, our findings suggest Latinos and African Americans negotiate dominant white idealizations of thin female bodies with their own cultures’ greater acceptance of larger body types

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Shades of Race: How Phenotype and Observer Characteristics Shape Racial Classification

Although race-based discrimination and stereotyping can only occur if people place others into racial categories, our understanding of this process, particularly in contexts where observers categorize others based solely on appearance, is limited. Using a unique data set drawn from observers’ assessments of photos posted by White, Black, Latino, and multiracial online daters, this study examines how phenotype and observer characteristics influence racial categorization and cases of divergence between self-identities and others’ classifications. I find that despite the growth in the multiracial population, observers tend to place individuals into monoracial categories, including Latino. Skin color is the primary marker used to categorize others by race, with light skin associated with Whiteness, medium skin with Latinidad, and, most strongly, dark skin with Blackness. Among daters who self-identify as Black along with other racial categories, those with dark skin are overwhelmingly placed solely into a Black category. These findings hold across observers, but the proportion of photos placed into different racial categories differs by observers’ gender and race. Thus, estimates of inequality may vary depending not only on how race is assessed but also on who classifiers are. I argue that patterns of racial categorization reveal how the U.S. racial structure has moved beyond binary divisions into a system in which Latinos are seen as a racial group in-between Blacks and Whites, and a dark-skin rule defines Blacks’ racial options

Shades of Race: How Phenotype and Observer Characteristics Shape Racial Classification

Although race-based discrimination and stereotyping can only occur if people place others into racial categories, our understanding of this process, particularly in contexts where observers categorize others based solely on appearance, is limited. Using a unique data set drawn from observers’ assessments of photos posted by White, Black, Latino, and multiracial online daters, this study examines how phenotype and observer characteristics influence racial categorization and cases of divergence between self-identities and others’ classifications. I find that despite the growth in the multiracial population, observers tend to place individuals into monoracial categories, including Latino. Skin color is the primary marker used to categorize others by race, with light skin associated with Whiteness, medium skin with Latinidad, and, most strongly, dark skin with Blackness. Among daters who self-identify as Black along with other racial categories, those with dark skin are overwhelmingly placed solely into a Black category. These findings hold across observers, but the proportion of photos placed into different racial categories differs by observers’ gender and race. Thus, estimates of inequality may vary depending not only on how race is assessed but also on who classifiers are. I argue that patterns of racial categorization reveal how the U.S. racial structure has moved beyond binary divisions into a system in which Latinos are seen as a racial group in-between Blacks and Whites, and a dark-skin rule defines Blacks’ racial options