3,997 research outputs found

    Remodeling the Closet: The Individual and Organizational Correlates of Workplace Sexual Identity Management

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    The strategies by which sexual minority employees manage their sexual identities in the workplace have long been a subject of inquiry. Extant research has long recognized that these employees potentially engage in several different strategies for workplace sexual identity management (e.g., actively concealing their identity vs. disclosing their identity), models of sexual identity management tend to focus only on factors that influence disclosure decisions. The current series of two survey studies explored the broader organizational correlates of three workplace sexual identity management strategies: general outness, concealment, and disclosure, as well as whether differences existed based on gender and sexual identity (i.e., gay- and lesbian-identified vs. bisexual-identified employees). Study 1 used a broad-based survey sample to explore these correlates, and Study 2 used data from a targeted survey that included active-duty LGB service members as respondents. Results from these two studies suggest that there may be differences in the sexual identity strategies that sexual minority employees engage in at their places of work. In addition, sexual identity management strategies associated with workplace characteristics included perceived support for sexual minority employees, supportive policies for sexual minorities, and organizational embeddedness. Perceived workplace support also moderated the relationship between concealing one’s sexual identity and organizational embeddedness, such that those who concealed less also tended to report feeling less embedded within their organizations, but this was only true for those who reported low perceived support for sexual minorities in their workplaces. These findings have implications for models of sexual identity management, future research directions, and organizational practice to support sexual minority employees

    Financing U.S. Renewable Energy Projects Through Public Capital Vehicles: Qualitative and Quantitative Benefits

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    This paper explores the possibility of financing renewable energy projects through raising capital in the public markets. It gives an overview of the size, structure, and benefits of public capital markets, as well as showing how renewable energy projects might take advantage of this source of new funds to lower the cost of electricity

    My Little Rose Of Romany

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    https://digitalcommons.library.umaine.edu/mmb-vp/2205/thumbnail.jp

    Utility-Scale Concentrating Solar Power and Photovoltaic Projects: A Technology and Market Overview

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    Over the last several years, solar energy technologies have been, or are in the process of being, deployed at unprecedented levels. A critical recent development, resulting from the massive scale of projects in progress or recently completed, is having the power sold directly to electric utilities. Such 'utility-scale' systems offer the opportunity to deploy solar technologies far faster than the traditional 'behind-the-meter' projects designed to offset retail load. Moreover, these systems have employed significant economies of scale during construction and operation, attracting financial capital, which in turn can reduce the delivered cost of power. This report is a summary of the current U.S. utility-scale solar state-of-the-market and development pipeline. Utility-scale solar energy systems are generally categorized as one of two basic designs: concentrating solar power (CSP) and photovoltaic (PV). CSP systems can be further delineated into four commercially available technologies: parabolic trough, central receiver (CR), parabolic dish, and linear Fresnel reflector. CSP systems can also be categorized as hybrid, which combine a solar-based system (generally parabolic trough, CR, or linear Fresnel) and a fossil fuel energy system to produce electric power or steam

    Erratum to: Sexual Mixing in Shanghai: Are Heterosexual Contact Patterns Compatible With an HIV/AIDS Epidemic?

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    In the middle of the paragraph just above Figure 6, there is the following sentence: “The range of the mean of the distribution of the proportion infected generated by the simulations is narrow, between 0.5 % and 0.2 % of all nodes.” This should read “between 0.05 % and 0.2 % of all nodes.

    Sexual Mixing in Shanghai: Are Heterosexual Contact Patterns Compatible With an HIV/AIDS Epidemic?

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    China’s HIV prevalence is low, mainly concentrated among female sex workers (FSWs), their clients, men who have sex with men, and the stable partners of members of these high-risk groups. We evaluate the contribution to the spread of HIV of China’s regime of heterosexual relations, of the structure of heterosexual networks, and of the attributes of key population groups with simulations driven by data from a cross-sectional survey of egocentric sexual networks of the general population of Shanghai and from a concurrent respondent-driven sample of FSWs. We find that the heterosexual network generated by our empirically calibrated simulations has low levels of partner change, strong constraints on partner selection by age and education, and a very small connected core, mainly comprising FSWs and their clients and characterized by a fragile transmission structure. This network has a small HIV epidemic potential but is compatible with the transmission of bacterial sexually transmitted infections (STIs), such as syphilis, which are less susceptible to structural breaks in transmission of infection. Our results suggest that policies that force commercial sex underground could have an adverse effect on the spread of HIV and other STIs

    Erratum to: Sexual Mixing in Shanghai: Are Heterosexual Contact Patterns Compatible With an HIV/AIDS Epidemic?

    Get PDF
    In the middle of the paragraph just above Figure 6, there is the following sentence: “The range of the mean of the distribution of the proportion infected generated by the simulations is narrow, between 0.5 % and 0.2 % of all nodes.” This should read “between 0.05 % and 0.2 % of all nodes.
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