Gender in academic STEM: A focus on men faculty

In this study, we explore how men faculty understand the role of gender in shaping faculty experiences in academic science, technology, engineering and mathematics (STEM) and how they position themselves in relation to inequalities disfavouring women. Our data reveal diversity among men in their understandings regarding challenges facing women in STEM. The majority of our participants revealed gender‐blind perspectives and argued that the egalitarian structure of academia does not allow gender to impact attainments in STEM in any significant way. However, a considerable number of them felt privileged compared to women and described subtle ways in which gender shapes opportunities. Our findings show the important implications of men's sensitivity to gender in the ways they perform their professional roles as, for example, mentors, colleagues and teachers in relation to women in STEM. They further call for attention to men's perceptions of gender issues when designing institutional interventions for improving women's conditions in STEM.     

An analysis of major social obstacles affecting human resource development in Iran

ABSTRACT

This study aimed to analyze the major social obstacles affecting the human resource development (HRD) in Iran. The study population included faculty members in Yazd province, Iran (N = 280, n = 162). A survey and a researcher-made questionnaire were used to collect data. The reliability of the questionnaire was confirmed by using Cronbach’s alpha (0.88) and its validity was approved by a panel of experts. The results indicated that the major social obstacles affecting HRD are ‘an increase in the share of foreigners in the labor market’, ‘frustration of native graduates’ and ‘local brain drain’, respectively. Furthermore, the results of exploratory factor analysis indicated that the most important social obstacles affecting HRD can be summarized into six factors including migration, lack of nativism, inclination towards foreigners, gender imbalance, lack of justice in distribution of resources, and lack of meritocracy. These factors altogether could explain 65.45% of the total variance. In the end, some applied recommendations (such as paying more attention to rural youth, fair distribution of facilities towards urban and rural balance, supporting native elites, preference for employment, and applying indigenous peoples based on meritocracy, creating favorable balance at different levels of academic education, avoiding gender inequality) have been presented.     

Poverty and Income Replacement Profile Among EPF Retiree in Malaysia

Social security policies often focus on replacement rates, which indicate retirement income or social security benefits in relation to preretirement income. The higher replacement rate among the pensioners would ensure that the ageing society would have sufficient income to lead a normal life after retirement. This study examined factors that influencing the income replacement rate of Malaysian Employee Provident Fund (EPF) retirees. The analysis was based on a nationwide survey conducted in 2013–2014 among EPF retiree. A logit model was used to evaluate the likelihood of selected socio-demographic and economic factors contributing to income of the retirees. The results indicated that around 62 % of elderly has lower retirement income compared to their preretirement income and it makes them more vulnerable to unpredictable events and financial conditions. The study suggested that the income replacement rate of elderly could be strengthened by investing in ageing workforce, raising retirement age, enhancing educational achievements of low income groups and restructuring employment. These may in turn increase the availability of skilled workers, enhancing the national productivity, increase the income security of retirees, reduce poverty, and develop economic growth of the country.     

Iranian obstetricians’ views about the factors that influence pregnant women's choice of delivery method: A qualitative study

BackgroundCaesarean section is a commonly performed childbirth procedure. While caesarean section is undeniably a lifesaving procedure for some mothers and babies, it can also be an unnecessary procedure for others. Different factors may be involved in the rate of birth by caesarean section.QuestionThis qualitative study was conducted in Kashan city, Iran, to explore obstetrician's views of what might influence pregnant women's choice of delivery method.MethodsObstetricians’ views and experiences were collected using semi-structured interviews. Interviews were conducted in a clinic or hospital, based on the preference of the 18 physicians who agreed to participate in the study. All interviews were recorded and transcribed. Participants were asked key questions, including: “Why do some women prefer caesarean section?”; “What kind of delivery did you have and why?”; “What kind of delivery would you recommend to pregnant women and why?” Inductive qualitative content analysis was undertaken using the method described by Morreti with 120 initial codes categorized into six categories.FindingsThe six categories developed from the initial codes were: factors relating to women, obstetricians, delivery conditions, complications, society's beliefs and the health system.ConclusionA qualitative study conducted in Iran showed that most of the factors identified by participants facilitated the choice of caesarean section. Vaginal birth was anticipated as a painful and lengthy process, with low cultural acceptance and resulting in less income for obstetricians.     

Evaluating Quality of Life in Urban Areas (Case Study: Noorabad City, Iran)

Quality of urban life (QOUL) has become an important field within urban studies. The increased level of attention to this topic is due to the increasing importance of QoL studies in monitoring public policies and in the role they can play as effective tools in urban management and planning. The main objective of this study is to measure the QOUL in the town of Noorabad in Iran, using subjective and objective indicators. In addition to secondary datasets, this study relies on a perception survey of households in the selected city. Based on an 11-point Likert scale, the mean of the overall life satisfaction of the respondents was found to be 6.06. At the same time, it has been found that satisfaction from employment opportunities is lowest among all other indicators. The comparison between the subjective and objective QoL in Noorabad indicated that 25 % of the households are in a state of well-being, 30.1 % are in a state of deprivation, while 24.4 % are in dissonance and 20.4 % are in a state of adaptation. Although correlation between objective and subjective dimensions of the QoL has not been found to be high, in general, the findings of this study reveal the importance of simultaneous studying of both objective and subjective dimensions of QoL. Results and findings of this study will be useful in designing and implementing future policies in the town of Noorabad.     

Social support networks,instant messaging,and gender equity in refugee education

ABSTRACT

This paper addresses the role of instant messaging chat groups to support teacher training and gender equity initiatives in Kenyan refugee camps. Our findings are based on survey data with refugee teachers in Dadaab and Kakuma refugee camps (n?=?203), group interviews with refugee teachers in Kakuma (n?=?21), and interviews with international instructors of teacher training programs in Nairobi, Toronto, and Vancouver (n?=?14). In our analysis, we apply amplification theory, feminist science and technology studies paradigms, and considerations of transnational approaches to understand the use of instant messaging among refugee teacher communities. Our framework explores how social and cultural norms are amplified through transnational text and instant messaging related to teacher training and in support of gender equity. Peer-to-peer group chats draw on transnational learning opportunities and expand these engagements through group chats between men and women refugee teachers across camps as well as through community engagement about gender equity initiatives in education. International instructors identify both value and hesitation in navigating the quantity and content of these communications, such as learning more about refugee teachers’ daily lives in the camps and concern about following and managing the amount of communication that can ensue over chat groups. Our work has practical implications for transnational teacher training programs in refugee camps, illuminates how mobile technology and chat groups allow women and men in the community to engage and support girls’ education, and questions how text messaging affects the lived and day-to-day experiences of women refugee teachers.     

Empowering agricultural production cooperatives: a nationwide survey of definitions and strategies in Iran

The empowerment literature lacks a common understanding of the empowerment and the important elements in the empowerment process. This study aimed to create an empirically generated list of definitions and strategies for empowering agricultural production cooperatives (APCs). A nationwide survey was conducted in Iran to achieve the research objectives. Fifty-five (out of 80) government employees involved in agricultural cooperatives’ empowerment and 85 (out of 277) board members of cooperatives who participated in empowerment programmes, were randomly selected to participate in this research. The perceptions of the two groups were compared using t-test to reach consensus. In the end 19 agreed definitions and 32 strategies were provided for empowering the cooperatives. An exploratory factor analysis was used to determine what sets of definitions and what sets of strategies hang together. The study results suggest that empowerment actors in Iran are trying to make cooperative principles governthe cooperative. The article concludes with the discussion of strategies for strengthening empowerment in APCs and implications for human resource development (HRD).     

Analyzing factors contributing to COVID-19 mortality in the United States using artificial intelligence techniques

Having started since late 2019, COVID-19 has spread through far many nations around the globe. Not being known profoundly, the novel virus of the Coronaviruses family has already caused more than half a million deaths and put the lives of many more people in danger. Policymakers have implemented preventive measures to curb the outbreak of the virus, and health practitioners along with epidemiologists have pointed out many social and hygienic factors associated with the virus incidence and mortality. However, a clearer vision of how the various factors cited hitherto can affect total death in different communities is yet to be analyzed. This study has put this issue forward. Applying artificial intelligence techniques, the relationship between COVID-19 death toll and determinants mentioned as strongly influential in earlier studies was investigated. In the first stage, employing Best-Worst Method, the weight of the primer contributing factor, effectiveness of strategies, was estimated. Then, using an integrated Best-Worst Method–local linear neuro-fuzzy–adaptive neuro-fuzzy inference system approach, the relationship between COVID-19 mortality rate and all factors namely effectiveness of strategies, age pyramid, health system status, and community health status was elucidated more specifically.