9 research outputs found

    Scripts of Sexual Desire and Danger in US and Dutch Teen Girl Magazines: A Cross-National Content Analysis

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    The aim of this comparative quantitative content analysis was to investigate how US and Dutch teen girl magazines cover sexual desire (i.e., sexual wanting, and pleasure) and sexual danger (i.e., sexual risk, and negative physical/health consequences of sex). Relying on the sexual scripts framework and Hofstede’s cultural dimension of masculinity/femininity, we examined (a) how the coverage varied for boys and girls, (b) how it differed between the United States and the Netherlands, and (c) how gender differences varied by country. The sample comprised 627 sex-related feature stories from all 2006–2008 issues of three US (i.e., Seventeen, CosmoGirl! United States edition, and Teen) and three Dutch teen girl magazines (i.e., Fancy, CosmoGirl! Netherlands edition, and Girlz!). Overall, sexual wanting occurred more frequently in the US magazines than in the Dutch magazines. In the US coverage, boys’ sexual wanting received more attention than girls’ sexual wanting, whereas in the Dutch coverage sexual wanting was depicted equally often for boys and girls. The depiction of sexual pleasure did not vary by gender in either country, but was generally more visible in the Dutch magazines than in the US magazines. Sexual risks and the negative consequences of sex were associated with girls more than with boys, and were primarily depicted in the US magazines rather than in the Dutch magazines

    A cross-cultural content-analytic comparison of the hookup culture in U.S. and Dutch teen girl magazines

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    This quantitative content analysis investigated the hookup culture in U.S. and Dutch teen girl magazines. Using Hofstede's cultural dimension of masculinity/femininity, the hookup culture (i.e., the relational context of sex, emotional context of sex, specific sexual activities, and contraceptives) was examined in 2,496 stories from all 2006 through 2008 issues of the three most popular U.S. (i.e., Seventeen, CosmoGirl! U.S. edition, and Teen) and Dutch teen girl magazines (i.e., Fancy, CosmoGirl! Netherlands edition, and Girlz!). Regarding the relational context of sex, stories about casual sex occurred more often in U.S. magazines, and Dutch magazines focused more on committed sex. Dutch magazines also emphasized sex within the emotional context of love more often than did U.S. magazines. In terms of sexual activities, coital sex was mentioned more often in U.S. coverage, while petting was mentioned more frequently in Dutch coverage. Condoms were covered more positively in U.S. magazines than in Dutch magazines. Overall, the hookup culture seems to be more visible in U.S. magazines for the occurrence of casual sex and lack of love stories, whereas it does not emerge in Dutch magazines due to the presence of committed sex and love-related articles

    Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

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    A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical, in silico evaluation, but few have yet demonstrated real benefit to patient care. Early-stage clinical evaluation is important to assess an AI system's actual clinical performance at small scale, ensure its safety, evaluate the human factors surrounding its use and pave the way to further large-scale trials. However, the reporting of these early studies remains inadequate. The present statement provides a multi-stakeholder, consensus-based reporting guideline for the Developmental and Exploratory Clinical Investigations of DEcision support systems driven by Artificial Intelligence (DECIDE-AI). We conducted a two-round, modified Delphi process to collect and analyze expert opinion on the reporting of early clinical evaluation of AI systems. Experts were recruited from 20 pre-defined stakeholder categories. The final composition and wording of the guideline was determined at a virtual consensus meeting. The checklist and the Explanation & Elaboration (E&E) sections were refined based on feedback from a qualitative evaluation process. In total, 123 experts participated in the first round of Delphi, 138 in the second round, 16 in the consensus meeting and 16 in the qualitative evaluation. The DECIDE-AI reporting guideline comprises 17 AI-specific reporting items (made of 28 subitems) and ten generic reporting items, with an E&E paragraph provided for each. Through consultation and consensus with a range of stakeholders, we developed a guideline comprising key items that should be reported in early-stage clinical studies of AI-based decision support systems in healthcare. By providing an actionable checklist of minimal reporting items, the DECIDE-AI guideline will facilitate the appraisal of these studies and replicability of their findings
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