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    After truth, after shame... after information politics? Rethinking the epistemologies of human rights in the digital-authoritarian conjuncture

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    Since the contemporary, mainstream human rights movement rose to prominence in the late-1970s, both knowing about and doing human rights has been marked by a very particular mode of activism, information politics, which mobilises ‘brute' facts with the aim of shaming governments into reform. However, this article suggests that the global rise of the far-right has intertwined with reactionary forms of digital culture, engendering both the retreat of shame as an operative concept in global affairs and nourished a growing ‘post-truth' suspicion of facts. The article theorises this problem as a conjunctural shift that represents both a political and epistemological crisis for human rights. Following the lead of debates within Science and Technology Studies (STS) and media studies, I contend that the present conjuncture requires us to consider what comes after information politics by re-imagining its epistemological basis. The article brings together Donna Haraway's theoretical work on ‘Situated Knowledges', with Maurizio Lazzarato’s political epistemology to develop a more perspectival, combative approach to human rights knowledge-making. I argue this epistemic framework is able not only to navigate key problems posed by the digital-authoritarian present but also to address many issues with information politics identified by earlier critics.</p

    Supplementary Figure S3 from The Influence of Smoking and Occupational Risk Factors on DNA Methylation in the <i>AHRR</i> and <i>F2RL3</i> Genes

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    Supplementary Figure S3 shows, for each graph, the effect estimate and the 95% CI plotted across all 33 CpG sites in the AHRR gene. Multivariable models included adjustment for age, phase of blood sampling, education level, ethnicity, and smoking (CSI - cumulative smoking index). The interpretation of the effect estimate is the difference in mean methylation level relative to those never exposed to each agent (reference group). Categorization of occupational exposures was based on the FWI as never exposed (FWI=0, reference group), Low exposure (>0 and lower than the population median, in blue square) and High exposure (≥population median, in red triangle). * Denotes a p-value < 0.05.</p

    Supplementary Table S1 from The Influence of Smoking and Occupational Risk Factors on DNA Methylation in the <i>AHRR</i> and <i>F2RL3</i> Genes

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    Supplementary Table S1 shows regression coefficients that denote the difference in average DNA methylation level, as derived from the mean methylation ratios across all estimated CpG sites in the AHRR gene, and their associated 95%CI relative to the reference group. Multivariable models included adjustment for age, sex (not for stratified models), phase of blood sampling, education level, ethnicity, and smoking (CSI - cumulative smoking index). A probability of exposure of 0% was categorized as unexposed; “Possibly exposed” if the probability of exposure was >0% and <25% and “Exposed” to a given agent if the probability of exposure was ≥25%.</p

    Supplementary Figure 2 from Increase in the Life Expectancy of Patients with Cancer in the United States

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    Proportion of loss in expectation of life by cancer site, shown over year at diagnosis by sex and age at diagnosis.</p

    Supplementary Figure S12 from Community-Level Factors Associated with Hepatocellular Carcinoma Incidence and Mortality: An Observational Registry Study

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    Supplementary Figure S12: Correlation between average annual cases of HCC (y-axis) and proportion of adults with obesity (x-axis).</p

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