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Einarsen, 2012 ). Employees in the sexual minority (lesbian, gay, bisexual, and transgender – LGBT) report more harassment ( EEOC, 2016 ; Hoel et al., 2017 ; Katz-Wise and Hyde, 2012 ) and status-based mistreatment (eg. bullying) ( McCord et al., 2018 ) than their heterosexual counterparts. Yet, despite a robust and growing body of research on workplace bullying, the influence of the target’s sexual orientation is an understudied aspect of the phenomenon. Social dominance ( Sidanius and Pratto, 1999 ) and stereotype ( Blashill and Powlishta, 2009 ) theories have been

7. References Aicken, C.R.H., C.H. Mercer, and J.A. Cassell. 2013. “Who reports absence of sexual attraction in Britain? Evidence from national probability surveys.” Psychology and Sexuality 4(2): 121–135. DOI: https://doi.org/10.1080/19419899.2013.774161 . Antecol, H., A. Jong, and M. Steinberger. 2008. “The Sexual Orientation Wage Gap: The Role of Occupational Sorting and Human Capital.” Industrial and Labor Relations Review 61(4): 518–543. DOI: https://doi.org/10.1177/001979390806100405 . Australian Bureau of Statistics. 2016. Same-Sex Couples in

orientation and gender identity/expression related peer victimization in adolescence: A systematic review of associated psychosocial and health outcomes.” Journal of Sex Research 50: 299–317. DOI: https://doi.org/10.1080/00224499.2012.750639 . Dahlhamer, J.M., A.M. Galinsky, S.S. Joestl, and B.W. Ward. 2014. “Sexual orientation in the 2013 National Health Interview Survey: A quality assessment.” Vital Health Statistics 2(169): 1–24. Available at: https://www.cdc.gov/nchs/data/series/sr_02/sr02_169.pdf (accessed July 2019). Ellis, R., M. Virgile, J. Holzberg, D

I Introduction When Antonin Scalia was appointed to the Supreme Court in 1986, the notion that Congress, the federal government or the States were constitutionally prohibited from imposing all sorts of discriminatory laws, policies and practices on nonheterosexual people solely because of those people’s sexual orientation would have struck most legally literate observers as fanciful if not absurd. Most notably in 1976, the Supreme Court had summarily upheld (425 U.S. 901 (1976)) a 2-1 Court of Appeals judgment upholding Virginia’s criminalization of male to male

7. References Baumle, A.K., D’Lane Compton, and D.L. Poston. 2009. Same Sex Partners: The Demography of Sexual Orientation . Albany, NY: SUNY Press. Baumle, A.K. and D.L. Poston. 2011. “The Economic Cost of Homosexuality: Multilevel Analyses.” Social Forces 89(3): 1005–1031. DOI: https://doi.org/10.1093/sf/89.3.1005 . Betts, P. 2009. “Developing Survey Questions on Sexual Identity: Cognitive/In-Depth Interviews.” Office for National Statistics . Available at: https

, and Selected Cancers Cooperative Study Group. 1992. “Proxy Respondents and the Validity of Occupational and Other Exposure Data.” American Journal of Epidemiology 136: 712–721. DOI: https://doi.org/10.1093/oxfordjournals.aje.a116550 . Cahill, S., R. Singal, C. Grasso, D. King, K. Mayer, K. Baker, and H. Makadon. 2014. “Do Ask, Do Tell: High Levels of Acceptability by Patients of Routine Collection of Sexual Orientation and Gender Identity in Four Diverse American Community Health Centers.” PLoS One 9: 1–8. DOI: https://doi.org/10.1371/journal.pone.0107104

.K. Santamaria, C-S. Leu, E. Brackis-Cott, and C.A. Mellins. 2012. “A Comparison of Audio Computer-Assisted Self-Interviews to Face-to-Face Interviews of Sexual Behavior among Perinatally HIV-Exposed Youth.” Archives of Sexual Behavior 41: 401–410. DOI: http://doi.org/10.1007/s10508-011-9769-6 . Drydakis, N. 2014. “Sexual Orientation and Labor Market Outcomes.” IZA World of Labor 111: 1–10. DOI: http://doi.org/10.15185/izawol.111 . Floyd, F.J. and R. Bakeman. 2006. “Coming-Out across the Life Course: Implications of Age and Historical Context.” Archives of Sexual

Izvleček

Izhodišča: V članku predstavljamo izsledke prve sociološke raziskave o spolnem vedenju uporabnikov interneta za internetne zmenke v Sloveniji s posebnim poudarkom na z zdravjem povezanih vidikih spolnega vedenja ljudi, ki se za zmenke dogovarjajo prek interneta.

Metode: Vzorec predstavljajo uporabniki internetnih strani za spoznavanje partnerjev. Uporabili smo vzorčenje po metodi snežne kepe prek elektronske pošte in z objavo oglasa na portalih za spoznavanje partnerjev prek interneta. Podatki so bili zbrani v januarju in februarju 2007. Končni vzorec sestavlja 1.349 anketirancev.

Rezultati: Večina anketirancev ni imela (44,2%) ali pa je imela majhno število spolnih partnerjev, ki so jih spoznali prek interneta (od 1 do 5 - 48%). Glede na spolno usmerjenost je imelo spolni odnos na prvem zmenku z osebo z interneta od 15 do 40% moških v primerjavi z od 7 do 18% žensk. Tretjina heteroseksualnih moških in žensk pri prvem spolnem odnosu z zadnjo osebo z interneta ni uporabila kondoma. Med uporabniki kondoma pri prvem spolnem odnosu z zadnjo osebo z interneta je največ homoseksualnih moških. Med njimi jih je 17% navedlo, da kondoma niso uporabili.

Zaključki: Izsledki raziskave kažejo, da je čas od prvega on-line stika do prvega spolnega odnosa pomemben pokazatelj za zdravje potencialno rizičnega spolnega vedenja. Naši podatki kažejo, da to velja še posebej za biseksualno usmerjene moške. Podatki o uporabi kondoma kažejo, da je »obdobje aidsa« pustilo močen pečat na populacijo homoseksualnih moških, ki v daleč največji meri uporabljajo kondom v primerjavi s heteroseksualno in z biseksualno usmerjenimi anketiranci.

. Lien. 2008. “Sexual Orientation and Self-Reported Lying.” Review of Economics of the Household 7(1): 83–104. DOI: https://doi.org/10.1007/s11150-008-9038-1 . Berry, S.H. and P.P. Gunn. 2014. “Conducting research on vulnerable and stigmatized populations.” In Hard-to-Survey Populations , edited by R. Tourangeau, B. Edwards, T.P. Johnson, K.M. Wolter, and N. Bates. Cambridge: Cambridge University Press. Beullens, K., G. Loosveldt, C. Vandenplas, and I. Stoop. 2018. “Response rates in The European Social Survey: Increasing, decreasing, or a matter of fieldwork

, 2014 ), they often result in discriminatory decisions that reproduce (digital) inequality and exclude minorities ( Eubanks, 2018 ; Hajian & Domingo-Ferrer, 2013 ; O’Neil, 2016 ). Such discrimination has attracted attention mainly regarding, sex, race, socio-economic background and sexual orientation ( Eubanks, 2018 ; Hajian & Domingo-Ferrer, 2013 ; O’Neil, 2016 ). In this sense, three pieces of evidence inspired this research. First, algorithms often reproduce stereotypes (e.g., Nguyen et al., 2014 ), as they rely on data sets that emerge from our everyday life