Relative Employment, Gender Beliefs, and Intimate Partner Coercion and Violence Against New Mothers Across Marital and Residential Contexts

This research builds on prior studies of intimate partner victimization by examining the impact of women’s and men’s relative employment, gender traditionalism, and gender distrust on coercive control and physical victimization among married, cohabiting, and noncohabiting couples with infants. It merges feminist approaches that emphasize the gendered meaning of work, power, and violence with prior insights regarding differences in levels of intimate violence across family forms. Specifically, this research recognizes that there is variation across married, cohabiting, and dating contexts in the symbolic meaning of work, the salience of traditionalism, and the tenuous status of relationships that may activate gender distrust in the production of compensatory violence and control. Logistic regression models using baseline and Year 1 Fragile Families and Child Well-Being data ( n = 2,337) indicate that the predictors of coercive control differ across couple types, with the relative odds of coercion higher among couples in which only the woman is employed, but only when cohabiting. Consistent with expectations, men’s gender traditionalism increases coercive control, but only in the context of marriage. Relative employment and gender beliefs did not predict physical victimization among any couple types, but a moderating effect of men’s gender distrust on women’s sole employment was identified, such that status inconsistency in employment increases the relative odds of physical victimization only when the male partner is distrustful of women.

Tamil HandWritten Word Recognition with Entrenched Attributes using k-Means Algorithm

<div><p><em>In spite, couple types of progress in advancements identifying with Tamil Optical character affirmation, handwriting continues hanging on as strategy for reporting information for ordinary life. The methodology of division and affirmation positions quiets a huge amount of troubles especially in seeing cursive physically composed scripts of different lingos. The thought proposed is an answer made to perform tamil character affirmation of composed by hand scripts in Tamil, a language having official status in India, Sri Lanka, and Singapore. The approach utilizes KNN Algorithm technique for seeing charted off cursive decrypted Tamil characters. The conflict of the structure is obvious as it can overwhelm the complexities develop out of content style assortments and winds up being versatile and solid. More elevated amount of precision in results has been obtained with the use of this procedure on a sweeping database and the precision of the results displays its application on business use. The methodology certifications to demonstrate an essential and brisk system to create a full OCR structure connected with sensible pre-get ready.</em></p></div>