Invisible mobilities: stigma,immobilities, and female sex workers’ mundane socio-legal negotiations of Dhaka’s urban space

ABSTRACT

Drawing on ethnography, this paper conceptualizes invisible mobilities by exploring the linkages between mobility, invisibility and hotel and residence based sex work in Dhaka, Bangladesh. Since both are illegal in Bangladesh, hotel and residence based sex workers (HRSWs) become targets of the different laws and sex work related social stigma. We show, in this paper, how invisible mobilities is used to strategize and counter-enact against the existing exploitative gendered socio-political-legal regimes and practices involved in sex work. Invisible mobilities refers to the way HRSWs move in order to hide their occupation from society and the law. Invisibility is at the core of all these connections: It enables HRSWs to continue sex work and avoid exclusion from family and members of their communities. While making themselves invisible permits them to continue their daily ways to earn a living, it also reinforces the same social stigma they are constantly trying to avoid. In doing so, this paper reveals the political economy of sex work in the city and provides a new theoretical window to understand the connections between gender, mobility and the city, constructing a bridge between mobility and sex work studies literature.     

Strengthening resources for midlife and older rural women who experience intimate partner violence

ABSTRACT

Little is known about midlife and older women who experience intimate partner violence living in rural places and their resource needs. Guided by a strengths perspective, we provided insights into resources that midlife and older women use, or would like to use, in their journey in leaving an abusive partner. Eight women who had left an abusive partner participated in a face-to-face interview. They drew on a wide variety of paid and unpaid resources, while each woman had a unique set of resources that contributed to her being able to make such a significant life transition. It is clear that we need to have a variety of formal and informal resources available to older women experiencing intimate partner violence (IPV) in rural places, and new forms of resources need to be developed. Our results also indicate that increased efforts are needed in improving both public and professional education regarding older rural women and IPV.     

Confounding adjustment methods for multi-level treatment comparisons under lack of positivity and unknown model specification

Imbalances in covariates between treatment groups are frequent in observational studies and can lead to biased comparisons. Various adjustment methods can be employed to correct these biases in the context of multi-level treatments (> 2). Analytical challenges, such as positivity violations and incorrect model specification due to unknown functional relationships between covariates and treatment or outcome, may affect their ability to yield unbiased results. Such challenges were expected in a comparison of fire-suppression interventions for preventing fire growth. We identified the overlap weights, augmented overlap weights, bias-corrected matching and targeted maximum likelihood as methods with the best potential to address those challenges. A simple variance estimator for the overlap weight estimators that can naturally be combined with machine learning is proposed. In a simulation study, we investigated the performance of these methods as well as those of simpler alternatives. Adjustment methods that included an outcome modeling component performed better than those that focused on the treatment mechanism in our simulations. Additionally, machine learning implementation was observed to efficiently compensate for the unknown model specification for the former methods, but not the latter. Based on these results, we compared the effectiveness of fire-suppression interventions using the augmented overlap weight estimator.     

Intersensory processing of faces and voices at 6 months predicts language outcomes at 18, 24, and 36 months of age

Intersensory processing of social events (e.g., matching sights and sounds of audiovisual speech) is a critical foundation for language development. Two recently developed protocols, the Multisensory Attention Assessment Protocol (MAAP) and the Intersensory Processing Efficiency Protocol (IPEP), assess individual differences in intersensory processing at a sufficiently fine-grained level for predicting developmental outcomes. Recent research using the MAAP demonstrates 12-month intersensory processing of face-voice synchrony predicts language outcomes at 18- and 24-months, holding traditional predictors (parent language input, SES) constant. Here, we build on these findings testing younger infants using the IPEP, a more comprehensive, fine-grained index of intersensory processing. Using a longitudinal sample of 103 infants, we tested whether intersensory processing (speed, accuracy) of faces and voices at 3- and 6-months predicts language outcomes at 12-, 18-, 24-, and 36-months, holding traditional predictors constant. Results demonstrate intersensory processing of faces and voices at 6-months (but not 3-months) accounted for significant unique variance in language outcomes at 18-, 24-, and 36-months, beyond that of traditional predictors. Findings highlight the importance of intersensory processing of face-voice synchrony as a foundation for language development as early as 6-months and reveal that individual differences assessed by the IPEP predict language outcomes even 2.5-years later.