33 research outputs found

    Reader and author gender and genre in Goodreads

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    This is an accepted manuscript of an article published by SAGE Publishing in Journal of Librarianship & Information Science on 01/05/2017, available online: https://doi.org/10.1177/0961000617709061 The accepted version of the publication may differ from the final published version.There are known gender differences in book preferences in terms of both genre and author gender but their extent and causes are not well understood. It is unclear whether reader preferences for author genders occur within any or all genres and whether readers evaluate books differently based on author genders within specific genres. This article exploits a major source of informal book reviews, the Goodreads.com website, to assess the influence of reader and author genders on book evaluations within genres. It uses a quantitative analysis of 201,560 books and their reviews, focusing on the top 50 user-specified genres. The results show strong gender differences in the ratings given by reviewers to books within genres, such as female reviewers rating contemporary romance more highly, with males preferring short stories. For most common book genres, reviewers give higher ratings to books authored by their own gender, confirming that gender bias is not confined to the literary elite. The main exception is the comic book, for which male reviewers prefer female authors, despite their scarcity. A word frequency analysis suggested that authors wrote, and reviewers valued, gendered aspects of books within a genre. For example, relationships and romance were disproportionately mentioned by women in mystery and fantasy novels. These results show that, perhaps for the first time, it is possible to get large scale evidence about the reception of books by typical readers, if they post reviews online

    A Tale of Four “Carp”: Invasion Potential and Ecological Niche Modeling

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    . We assessed the geographic potential of four Eurasian cyprinid fishes (common carp, tench, grass carp, black carp) as invaders in North America via ecological niche modeling (ENM). These “carp” represent four stages of invasion of the continent (a long-established invader with a wide distribution, a long-established invader with a limited distribution, a spreading invader whose distribution is expanding, and a newly introduced potential invader that is not yet established), and as such illustrate the progressive reduction of distributional disequilibrium over the history of species' invasions.We used ENM to estimate the potential distributional area for each species in North America using models based on native range distribution data. Environmental data layers for native and introduced ranges were imported from state, national, and international climate and environmental databases. Models were evaluated using independent validation data on native and invaded areas. We calculated omission error for the independent validation data for each species: all native range tests were highly successful (all omission values <7%); invaded-range predictions were predictive for common and grass carp (omission values 8.8 and 19.8%, respectively). Model omission was high for introduced tench populations (54.7%), but the model correctly identified some areas where the species has been successful; distributional predictions for black carp show that large portions of eastern North America are at risk.ENMs predicted potential ranges of carp species accurately even in regions where the species have not been present until recently. ENM can forecast species' potential geographic ranges with reasonable precision and within the short screening time required by proposed U.S. invasive species legislation

    Change in Quality of Life after Being Diagnosed with HIV: A Multicenter Longitudinal Study

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    The objective of this study was to assess in patients with HIV perceptions of life pre-HIV versus post-HIV diagnosis and examine whether such perceptions change over time. We conducted interviews and chart reviews of 347 outpatients with HIV from three cities in 2002–2004. In two interviews 12–18 months apart, patients compared their life now with their life before HIV was diagnosed. Independent variables included demographic and clinical characteristics; HIV-specific health status, symptoms, and concerns; spirituality/religion; social support; self-perception; and optimism. The patients' mean (standard deviation [SD]) age was 44.8 (8.3) years; half were minorities; and 269 (78%) were taking antiretroviral therapy. Comparing life at time 1 versus before diagnosis, 109 (31%) patients said their life was better at time 1, 98 (28%) said it was worse, and the rest said it was about the same or did not know. By time 2, approximately one fifth of the patients changed their answers to indicate life improvement and one sixth changed them to indicate life deterioration. In multivariable analysis, change in perception for the better between time 1 and time 2 (versus prediagnosis) was positively associated with time 1 positive religious coping scores, whereas change in perception for the worse was associated with study site, heterosexual orientation, a detectable viral load, shorter duration of HIV, lower spirituality scores, and lower positive religious coping scores. We conclude that many patients with HIV feel that their life is better than it was before their diagnosis, although results of such comparisons often change over time
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