48 research outputs found

    School-Based Gay-Straight Alliances as a Protective Factor for Sexual Minority Youth

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    Sexual minority youth have been found to be at-risk for engaging in negative health behaviors and for experiencing at-school victimization (Bontempo & D’Augelli, 2002). Specific benefits of attending a high school with a gay-straight alliance (GSA) have recently been published (e.g., fewer suicide attempts; Goodenow, Szalacha, & Westheimer, 2006). However, it is unclear whether GSAs have any impact on substance use behaviors. The purpose of this study was to examine the impact of attending a school with a GSA on sexual minority youths’ high school experiences, mental health, and substance use behaviors. A total of 103 heterosexual and 145 sexual minority participants were recruited for this study. Analyses of covariance (ANCOVA) were used to compare sexual minority youth who attended a high school with a GSA (GSA+), sexual minority youth who did not attend a high school with a GSA (GSA-), and heterosexual youth (HET) to determine if differences in high school experiences, mental health, and substance use were present. Overall, the results indicated that GSA+ youth reported more positive school experiences, less problematic substance use, and less emotional distress when compared to GSA- youth. HET youth in this study had more positive outcomes compared to the sexual minority sample, with the exception of problematic substance use and high school GPA. The findings support considering high school GSAs as protective factors for sexual minority youth. The implications of these findings are discussed in further detail, along with the limitations of this research. Future directions for studying the potential benefits of attending a high school GSA for sexual minority youth are also provided

    EXPANDING, REFINING, AND REPLICATING RESEARCH ON HIGH SCHOOL GAY-STRAIGHT STUDENT ALLIANCES AND SEXUAL MINORITY YOUTH

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    Sexual minority youth are at-risk for engaging in negative health behaviors and for experiencing at-school victimization. Specific benefits of attending a high school with a gay-straight student alliance (GSA), including lower risk for suicide, fewer alcohol problems and lower levels of psychological distress, have been reported. Limitations in the previous research studies, especially the use of retrospective designs, small sample sizes, and samples limited to a single geographic region, call into question the generalizability of these benefits. In an effort to overcome the aforementioned limitations, this analysis of data from 316 sexual minority high school students identified individual/family-, community-, and school-level variables that predicted academic, mental health, and substance use outcomes. After controlling for these and other demographic variables, results indicate that youth attending a high school with a GSA reported more favorable substance use outcomes when compared to peers attending a high school without a GSA. However, this association was not present when examining mental health outcomes, which may indicate that GSAs promote favorable mental heath outcomes in sexual minority young adults by way of reduced substance use in late adolescence. This association may also be the result of undetected interaction effects or non-linear associations among predictor and outcome variables. Practical and theoretical implications of the findings are discussed, along with suggestions for future research. Important limitations of this study are reviewed

    The History and Prehistory of Natural-Language Semantics

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    Contemporary natural-language semantics began with the assumption that the meaning of a sentence could be modeled by a single truth condition, or by an entity with a truth-condition. But with the recent explosion of dynamic semantics and pragmatics and of work on non- truth-conditional dimensions of linguistic meaning, we are now in the midst of a shift away from a truth-condition-centric view and toward the idea that a sentence’s meaning must be spelled out in terms of its various roles in conversation. This communicative turn in semantics raises historical questions: Why was truth-conditional semantics dominant in the first place, and why were the phenomena now driving the communicative turn initially ignored or misunderstood by truth-conditional semanticists? I offer a historical answer to both questions. The history of natural-language semantics—springing from the work of Donald Davidson and Richard Montague—began with a methodological toolkit that Frege, Tarski, Carnap, and others had created to better understand artificial languages. For them, the study of linguistic meaning was subservient to other explanatory goals in logic, philosophy, and the foundations of mathematics, and this subservience was reflected in the fact that they idealized away from all aspects of meaning that get in the way of a one-to-one correspondence between sentences and truth-conditions. The truth-conditional beginnings of natural- language semantics are best explained by the fact that, upon turning their attention to the empirical study of natural language, Davidson and Montague adopted the methodological toolkit assembled by Frege, Tarski, and Carnap and, along with it, their idealization away from non-truth-conditional semantic phenomena. But this pivot in explana- tory priorities toward natural language itself rendered the adoption of the truth-conditional idealization inappropriate. Lifting the truth-conditional idealization has forced semanticists to upend the conception of linguistic meaning that was originally embodied in their methodology

    Crowdsourcing hypothesis tests: Making transparent how design choices shape research results

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    To what extent are research results influenced by subjective decisions that scientists make as they design studies? Fifteen research teams independently designed studies to answer fiveoriginal research questions related to moral judgments, negotiations, and implicit cognition. Participants from two separate large samples (total N > 15,000) were then randomly assigned to complete one version of each study. Effect sizes varied dramatically across different sets of materials designed to test the same hypothesis: materials from different teams renderedstatistically significant effects in opposite directions for four out of five hypotheses, with the narrowest range in estimates being d = -0.37 to +0.26. Meta-analysis and a Bayesian perspective on the results revealed overall support for two hypotheses, and a lack of support for three hypotheses. Overall, practically none of the variability in effect sizes was attributable to the skill of the research team in designing materials, while considerable variability was attributable to the hypothesis being tested. In a forecasting survey, predictions of other scientists were significantly correlated with study results, both across and within hypotheses. Crowdsourced testing of research hypotheses helps reveal the true consistency of empirical support for a scientific claim.</div

    Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

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    A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

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

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    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
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