A new cultural cleavage in post-modern society

Lane, Jan‐Erik

doi:10.1590/s0101-31572007000300004

Cited by 4 publications

(2 citation statements)

References 17 publications

(3 reference statements)

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“…Moreover, RF also has a better out-of-box performance. As Probst et al [20] have shown, random forests have the least variability in their prediction accuracy when tuning among popular machine learning algorithms. To further show the performance of classification models, the ROC curves of RF with different split strategies and different algorithms are drawn in Fig.…”

Section: Robustness Checkmentioning

confidence: 99%

The Hidden Sexual Minorities: Machine Learning Approaches to Estimate the Sexual Minority Orientation Among Beijing College Students

Chen

2022

J. Soc. Comput.

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Based on the fourth-wave Beijing College Students Panel Survey (BCSPS), this study aims to provide accurate estimation of the percentage of the potential sexual minorities among the Beijing college students by using machine learning methods. Specifically, we employ random forest (RF), an ensemble learning approach for classification and regression, to predict the sexual orientation of those who were not willing to disclose his/her inherent sexual identity. To overcome the imbalance problem arising from far different numerical proportion of sexual minority and majority members, we adopt the repeated random subsampling for training set by partitioning those who expressed heterosexual orientation into different number of splits and further combining each split with those who expressed sexual minority orientation. The prediction from 24-split random forest suggests that youths in Beijing with sexual minority orientation amount to 5.71%, almost two times that of the original estimation 3.03%. The results are robust to alternative learning methods and covariate sets. Besides, it is also suggested that random forest outperforms other learning algorithms, including AdaBoost, Naïve Bayes, support vector machine (SVM), and logistic regression, in dealing with missing data, by showing higher accuracy, F1 score, and area under curve (AUC) value.

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Section: Robustness Checkmentioning

confidence: 99%

The Hidden Sexual Minorities: Machine Learning Approaches to Estimate the Sexual Minority Orientation Among Beijing College Students

Chen

2022

J. Soc. Comput.

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“…When we turn to the plot on the right, which attempts to more closely examine the link between sexual and gender equality (Frank and McEneaney, 1999; Lane, 2007) by substituting women’s parliamentary representation on the x-axis, 3 the perspective changes and the overall strength of the relationship is cut in half. This is due, in part, to a cleavage between the two sub-regions—classified by Welzel (2013) as “Sinic” and “Indic” and shaded accordingly.…”

Section: The Condition Of Sexuality and Gender Politics In Southeast mentioning

confidence: 99%

Waiting for the real dragon

Collet

2017

Asian Journal of Comparative Politics

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Southeast Asia is the world’s most diverse and rapidly modernizing region, yet one where modernization theory is challenged (e.g. Bell et al., 1995) and where allegiance to authoritarian regimes appears trenchant (Chang et al., 2013; Dalton and Shin, 2014). Using the AsiaBarometer, I consider the influence of modernization and allegiance on potential democratization by analyzing an established indicator of assertive change: tolerance of homosexuality (Inglehart and Welzel, 2005: Ch. 5, forthcoming). The findings reveal differences between Southeast Asians and the West and between citizens in the Sinic and Indic subregions. Exposure to foreign cultures produces a significant increase in tolerance among Sinicized citizens, but has no meaningful effect on those in Indic states. Patriotism and trust in civil society also boost tolerance among Sinicized citizens, but reduce the probability of tolerance among citizens in Indic states. The strong linkage between sexual tolerance and gender equality driven by social factors and secularism in the West does not manifest in Southeast Asia. While the findings suggest potential for change in the Sinicized region, they underscore the different effects that globalization and allegiance may have on citizens living under Southeast Asia’s variety of regimes.

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Dilemmas of Chinese Lesbian Youths in Contemporary Mainland China

Cheng¹

2017

Sexuality & Culture

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A new cultural cleavage in post-modern society

Cited by 4 publications

References 17 publications

The Hidden Sexual Minorities: Machine Learning Approaches to Estimate the Sexual Minority Orientation Among Beijing College Students

The Hidden Sexual Minorities: Machine Learning Approaches to Estimate the Sexual Minority Orientation Among Beijing College Students

Waiting for the real dragon

Dilemmas of Chinese Lesbian Youths in Contemporary Mainland China

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