Stuff I've been reading (October 2021)

By Os Keyes

Things I finished reading in October 2021:

Books

  • Angel, Katherine. Tomorrow Sex Will Be Good Again: Women and Desire in the Age of Consent. Verso Books, 2021.
  • Babbitt, Susan E. Impossible dreams: Rationality, integrity, and moral imagination. HarperCollins, 1996.
  • Beck, Ulrich. Risk society: Towards a new modernity. Sage, 1992.
  • Bevan, Dana Jennett. The Psychobiology of Transsexualism and Transgenderism. ABC-CLIO, 2014.
  • Burke, Phyllis. Gender shock: Exploding the myths of male and female. Anchor Books/Doubleday, 1996.
  • Card, Claudia, ed. On Feminist Ethics & Politics. University Press of Kansas, 1999.
  • Haines, Staci K. The politics of trauma: Somatics, healing, and social justice. North Atlantic Books, 2019.
  • Hidalgo, César A., et al. How humans judge machines. MIT Press, 2021.
  • Hines, Sally, and Yvette Taylor. Sexualities: Past Reflections, Future Directions. Springer, 2012.
  • Kaba, Mariame. We Do this ‘til We Free Us: Abolitionist Organizing and Transforming Justice. Haymarket Books, 2021.
  • Kittay, Eva Feder, and Ellen K. Feder, eds. The subject of care: feminist perspectives on dependency. Rowman & Littlefield Publishers, 2003.
  • Langer, S. J. Theorizing transgender identity for clinical practice: A new model for understanding gender. Jessica Kingsley Publishers, 2019.
  • Murphy, Michelle. The economization of life. Duke University Press, 2017.
  • Nunes, Rodrigo. Neither Vertical Nor Horizontal: A Theory of Political Organization. Verso Books, 2021.
  • Roselló-Peñaloza, Miguel. No Body: Clinical constructions of gender and transsexuality–Pathologisation, violence and deconstruction. Routledge, 2018.
  • Rosanvallon, Pierre, and Arthur Goldhammer. Counter-democracy: Politics in an age of distrust. Cambridge University Press, 2008.

Papers and Chapters

  • Abraham, Ralf. “Enterprise architecture artifacts as boundary objects-A framework of properties.” Association for Information Systems, 2013.
  • Allhutter, Doris. “Mind scripting: A method for deconstructive design.” Science, Technology, & Human Values 37.6 (2012): 684-707.
  • Allhutter, Doris, and Bettina Berendt. “Deconstructing FAT: using memories to collectively explore implicit assumptions, values and context in practices of debiasing and discrimination-awareness.” Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. 2020.
  • Allhutter, Doris, et al. “Materiality-critique-transformation: challenging the political in feminist new materialisms.” Feminist Theory 21.4 (2020): 403-411.
  • Birk, Rasmus, et al. “For what it’s worth. Unearthing the values embedded in digital phenotyping for mental health.” Big Data & Society 8.2 (2021): 20539517211047319.
  • Candlin, Christopher N., and Jonathan Crichton. “From ontology to methodology: Exploring the discursive landscape of trust.” In Discourses of trust. Palgrave Macmillan, London, 2013. 1-18.
  • Coleman, Stephen. “Believing the news: From sinking trust to atrophied efficacy.” European journal of communication 27.1 (2012): 35-45.
  • Contessa, Gabriele. “It Takes a Village to Trust Science: Towards a (Thoroughly) Social Approach to Public Trust in Science”. Ektensis (2021).
  • Dahl, Yngve, and Dag Svanæs. “Facilitating Democracy: Concerns from Participatory Design with Asymmetric Stakeholder Relations in Health Care.” Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 2020.
  • Dittrich, Yvonne, et al. “Editorial for the special issue on qualitative software engineering research.” Information and software technology 49.6 (2007): 531-539.
  • Forsythe, Diana E. ““It’s just a matter of common sense”: Ethnography as invisible work.” Computer Supported Cooperative Work (CSCW) 8.1 (1999): 127-145.
  • García‐González, Andrea, et al. “When discomfort enters our skin: Five feminists in conversation.” Feminist Anthropology (2021).
  • Goriunova, Olga. “Face abstraction! Biometric identities and authentic subjectivities in the truth practices of data.” Subjectivity 12.1 (2019): 12-26.
  • Green, Sara, and Mette N. Svendsen. “Digital phenotyping and data inheritance.” Big Data & Society 8.2 (2021): 20539517211036799.
  • Grote, Thomas, and Philipp Berens. “On the ethics of algorithmic decision-making in healthcare.” Journal of medical ethics 46.3 (2020): 205-211.
  • de Heer, Brooke, Meredith Brown, and Julianna Cheney. “Sexual consent and communication among the sexual minoritized: The role of heteronormative sex education, trauma, and dual identities.” Feminist Criminology (2021): 15570851211034560.
  • Healey, Dan. “Sexology and the national Other in the Soviet Union.” Twentieth Century Communism 20.20 (2021): 13-44.
  • Hoy, David Couzens. “Genealogy, phenomenology, critical theory.” Journal of the Philosophy of History 2.3 (2008): 276-294.
  • Hu, Lily, and Issa Kohler-Hausmann. “What’s sex got to do with machine learning?.” Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. 2020.
  • Ison, Jess. “‘It’s not just men and women’: LGBTQIA people and# MeToo.” In #MeToo and the politics of social change. Palgrave Macmillan, Cham, 2019. 151-167.
  • Kasirzadeh, Atoosa, and Andrew Smart. “The use and misuse of counterfactuals in ethical machine learning.” Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. 2021.
  • Kearl, Benjamin. “Questioning Autism’s Racializing Assemblages.” Philosophical Inquiry in Education 28.2: 149-161.
  • Kelly, Janet. “Towards ethical principles for participatory design practice.” CoDesign 15.4 (2019): 329-344.
  • Khan, Zaid, and Yun Fu. “One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision.” Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. 2021.
  • Koi, Polaris. “Genetics on the neurodiversity spectrum: Genetic, phenotypic and endophenotypic continua in autism and ADHD.” Studies in History and Philosophy of Science Part A 89 (2021): 52-62.
  • Kornstein, Harris. “Under her eye: Digital drag as obfuscation and countersurveillance.” Surveillance & Society 17.5 (2019): 681-698.
  • Kudina, Olya, and Bas de Boer. “Co‐designing diagnosis: Towards a responsible integration of Machine Learning decision‐support systems in medical diagnostics.” Journal of Evaluation in Clinical Practice 27.3 (2021): 529-536.
  • Lee, Jennifer, and Karthick Ramakrishnan. “Who counts as Asian.” Ethnic and Racial Studies 43.10 (2020): 1733-1756.
  • Leeman, Jennifer. “Becoming Hispanic: The negotiation of ethnoracial identity in US census interviews.” Latino Studies 16.4 (2018): 432-460.
  • Lenard, Patti Tamara. “The political philosophy of trust and distrust in democracies and beyond.” The Monist 98.4 (2015): 353-359.
  • Lewis, Tyson Edward. “It’sa profane life: Giorgio Agamben on the freedom of im-potentiality in education.” Educational Philosophy and Theory 46.4 (2014): 334-347.
  • Lingel, Jessica. “Dazzle camouflage as queer counter conduct.” European Journal of Cultural Studies (2020): 1367549420902805.
  • Loughlin, Michael, and Samantha Marie Copeland. “Humans, machines and decisions: Clinical reasoning in the age of artificial intelligence, evidence‐based medicine and Covid‐19.” Journal of Evaluation in Clinical Practice 27.3 (2021): 475.
  • Lupton, Deborah, and Annemarie Jutel. “‘It’s like having a physician in your pocket!’A critical analysis of self-diagnosis smartphone apps.” Social Science & Medicine 133 (2015): 128-135.
  • Mark, Gloria, Kalle Lyytinen, and Mark Bergman. “Boundary objects in design: An ecological view of design artifacts.” Journal of the Association for Information Systems 8.11 (2007): 34.
  • Morrison, Romi Ron. “Flesh”. In Thylstrup, Nanna Bonde, et al. (eds) Uncertain Archives: Critical Keywords for Big Data. MIT Press, 2021. 1-27.
  • Narayan, Shivangi. “Guilty Until Proven Guilty: Policing Caste Through Preventive Policing Registers in India.” Journal of Extreme Anthropology 5.1 (2021).
  • Nikunen, Kaarina. “Ghosts of white methods? The challenges of Big Data research in exploring racism in digital context.” Big Data & Society 8.2 (2021): 20539517211048964.
  • Okolo, Chinasa T., et al. ““It cannot do all of my work”: Community Health Worker Perceptions of AI-Enabled Mobile Health Applications in Rural India.” Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 2021.
  • Patel, Sunita. “Performative aspects of race: Arab, Muslim, and South Asian racial formation after September 11.” UCLA Asian Pac. Am. LJ 10 (2005): 61.
  • Phan, Thao, and Scott Wark. “Racial formations as data formations.” Big Data & Society 8.2 (2021): 20539517211046377.
  • Phan, Thao, and Scott Wark. “What personalisation can do for you! Or: how to do racial discrimination without ‘race’.” Culture/Machine (2021).
  • Posselt, G. “Self-Care and Truth-Telling: Rethinking Care with Foucault”. Le foucaldien, (2021) 7(1), p.10. DOI: http://doi.org/10.16995/lefou.107
  • Rana, Junaid. “When Pakistanis became Middle Eastern: Visualizing racial targets in the global War on Terror.” In Between the Middle East and the Americas: The Cultural Politics of Diaspora. University of Michigan Press, 2013. 176-192.
  • Rieder, Bernhard, and Yarden Skop. “The fabrics of machine moderation: Studying the technical, normative, and organizational structure of Perspective API.” Big Data & Society 8.2 (2021): 20539517211046181.
  • Ristock, Janice L. “Decentering heterosexuality: Responses of feminist counselors to abuse in lesbian relationships.” Women & Therapy 23.3 (2001): 59-72.
  • Ristock, Janice L. “Exploring dynamics of abusive lesbian relationships: Preliminary analysis of a multisite, qualitative study.” American journal of community psychology 31.3 (2003): 329-341.
  • Ristock, Janice. “Taking off the gender lens in women’s studies: Queering violence against women.” Canadian Woman Studies 24.2 (2005).
  • Rollè, Luca, et al. “When intimate partner violence meets same sex couples: A review of same sex intimate partner violence.” Frontiers in psychology 9 (2018): 1506.
  • Sambasivan, Nithya, et al. ““Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI.” proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 2021.
  • Singh, Ranjit, and Steven Jackson. “Seeing Like an Infrastructure: Low-resolution Citizens and the Aadhaar Identification Project.” Proceedings of the ACM on Human-Computer Interaction 5.CSCW2 (2021): 1-26.
  • Steen, Marc. “Upon opening the black box and finding it full: Exploring the ethics in design practices.” Science, Technology, & Human Values 40.3 (2015): 389-420.
  • Toman, Lindsay. “The institution of medicine and transgender identity construction: Between a doc and a hard place.” Sociology Compass (2021): e12938.
  • de Vries, Patricia. “Dazzles, Decoys, and Deities: The Janus Face of Anti-Facial Recognition Masks.” PLATFORM: Journal of Media & Communication 8.1 (2017).
  • Van De Walle, Steven, and Frédérique Six. “Trust and distrust as distinct concepts: Why studying distrust in institutions is important.” Journal of Comparative Policy Analysis: Research and Practice 16.2 (2014): 158-174.
  • Vogelmann, Frieder. “The problem of post-truth. Rethinking the relationship between truth and politics.” BEHEMOTH-A Journal on Civilisation 11.2 (2018): 18-37.
  • Weir, Lorna. “The concept of truth regime.” Canadian Journal of Sociology 33.2 (2008).
  • Zannier, Carmen, Mike Chiasson, and Frank Maurer. “A model of design decision making based on empirical results of interviews with software designers.” Information and Software Technology 49.6 (2007): 637-653.