The subjective meaning of gender: how survey designs affect perceptions of femininity and masculinity

Author(s):  
Elias Markstedt ◽  
Lena Wängnerud ◽  
Maria Solevid ◽  
Monika Djerf-Pierre

The rationale for this study is that self-categorising rating scales are becoming increasingly popular in large-scale survey research moving beyond binary ways of measuring gender. We are referring here to the use of rating scales that are similar to graded scales capturing left–right or liberal–conservative political ideology, that is, scales that do not include predefinitions of the core concepts (femininity/masculinity, as compared to left/right or liberal/conservative). Yet, previous studies including such non-binary gender measures have paid little attention to potential effects of survey designs. Using an experimental set-up, we are able to show that sequencing of gender measurements influences the answers received. Men were especially affected by our treatments and rated themselves as significantly ‘less masculine’ when prompted to reason about the meaning of gender prior to self-categorisation on scales measuring degrees of femininity and masculinity. Moreover, self-categorising seems to trigger more biological understandings of gender than anticipated in theory.<br /><br />Key messages<ul><li>Sequencing of gender measurements influences answers received in a survey.</li><li>Men rate themselves as ‘less masculine’ when prompted to reason about gender prior to answering gender scales.</li><li>Self-categorising gender scales trigger more biological understandings of gender than anticipated in theory.</li></ul>

2014 ◽  
Vol 19 (2) ◽  
pp. 154-163
Author(s):  
Norbert Herber

Awa-ai is the indigo plant and dye made famous hundreds of years ago in Japan by the people living and working in the region now known as Tokushima Prefecture. This article explores the core concepts that link the aged traditions of indigo production, processing and dyeing with contemporary sound practice, and outlines the facets of a collaboration in which disparate fields not only coexisted, but used their technological and cultural differences to strengthen one another. Live field recordings, audio interviews and the sounds of Awa indigo production and practice were used in a large-scale, transcontinental installation which featured over 200 pieces of indigo-dyed cloth and multichannel, interactive sound. The collaborative nature of this project allowed the artists involved to understand and conceptualise their work in new ways, and can serve as an example for the ways in which syncretic exploration energises creative thinking and output.


2020 ◽  
Author(s):  
Jon Green ◽  
Matthew Baum ◽  
James Druckman ◽  
David Lazer ◽  
Katherine Ognyanova ◽  
...  

An individual’s issue preferences are non-separable when they depend on other issue outcomes (Lacy 2001a), presenting measurement challenges for traditional survey research. We extend this logic to the broader case of conditional preferences, in which policy preferences depend on the status of conditions with inherent levels of uncertainty -- and are not necessarily policies themselves. We demonstrate new approaches for measuring conditional preferences in two large-scale survey experiments regarding the conditions under which citizens would support reopening schools in their communities during the COVID-19 pandemic. By drawing on recently-developed methods at the intersection of machine learning and causal inference, we identify which citizens are most likely to have school reopening preferences that depend on additional considerations. The results highlight the advantages of using such approaches to measure conditional preferences, which represent an underappreciated and general phenomenon in public opinion.


Author(s):  
Moon Sil Kim ◽  
Ji Ho Song ◽  
Bun Han Kim ◽  
Seung Hee Lee

This study is empirical and descriptive one for analysing the nurse's job. This study used the methods of making the job descriptions and survey research about the nurses' perception of importance in their job and the frequency of job performance. The results were in following: the research divided the job of new nurse into 11 duties. And duties include the 65 tasks and 446 task elements. According to the survey research on the nurses' perception of importance and the frequency of job performance, the elements graded higher than 2.5 point in importance perception, were 47 elements(10.5%). And the elements from 2.0 to 2.5 were 93 elements(18.8%). Regarding the frequency of job performance, the 56 elements were graded higher than 2.5 point on average(12.6%), and 84 elements were from 2.0 to 2.5(18.8%). Especially, the elements which grade higher than 2.5 point in both two items, were 31 elements(7.0%). Based on these results, the elements graded higher than 2.0 point were grouped to the core competencies for registered nurse, these could be core concepts to develop the questions for national examination for nurse's registration.


2018 ◽  
Vol 15 (4) ◽  
pp. 826-850 ◽  
Author(s):  
Lena Wängnerud ◽  
Maria Solevid ◽  
Monika Djerf-Pierre

Concepts such as risk aversion and anxiety have received renewed attention in various strands of gender and politics research. Most contemporary scholars suggest that gender gaps in this area are related to social norms and stem from social learning rather than from inherent gender traits. Very few, however, elaborate on the gender variable to reach a fuller understanding of the dynamics at work. In this study, we examined gender gaps in levels of anxiety, an area closely related to risk aversion, and we applied a combination of categorical measures of gender distinguishing between “woman, “man,” and “other” and scales capturing grades of femininity and masculinity in individuals. We label this approachfuzzy gender, and we suggest that it can be used to advance research in our field. The key finding is an interaction effect between categorical measures of gender and fuzzy gender: The more female characteristics in women, the higher the levels of anxiety. Moreover, there is no difference in levels of anxiety between men and women with few female characteristics. The data used draw from a large-scale survey among Swedish citizens in 2013.


2017 ◽  
Vol 44 (3) ◽  
pp. 384-405 ◽  
Author(s):  
Bastiaan T. Rutjens ◽  
Robbie M. Sutton ◽  
Romy van der Lee

Many topics that scientists investigate speak to people’s ideological worldviews. We report three studies—including an analysis of large-scale survey data—in which we systematically investigate the ideological antecedents of general faith in science and willingness to support science, as well as of science skepticism of climate change, vaccination, and genetic modification (GM). The main predictors are religiosity and political orientation, morality, and science understanding. Overall, science understanding is associated with vaccine and GM food acceptance, but not climate change acceptance. Importantly, different ideological predictors are related to the acceptance of different scientific findings. Political conservatism best predicts climate change skepticism. Religiosity, alongside moral purity concerns, best predicts vaccination skepticism. GM food skepticism is not fueled by religious or political ideology. Finally, religious conservatives consistently display a low faith in science and an unwillingness to support science. Thus, science acceptance and rejection have different ideological roots, depending on the topic of investigation.


2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Yiran Jiang ◽  
Hui Wu

With the large-scale integration of fracturing unit's on-site construction, traditional industrial buses are increasingly unable to meet the requirements for the quantity transmission between various equipment in large-scale fracturing units, and different models of different equipment manufacturers cannot cooperate with each other as there are "Islands of information" in the control system. This article uses industrial Ethernet as the physical medium for data transmission. In addition, different equipment manufacturers use OPC as the core technology of the fracturing unit control system network, and set up an intelligent fracturing unit control system, so that the control network can quickly, accurately, and safely control the fracturing truck control system. The sand truck control system monitors and analyzes, saves, and prints the construction data in the vehicle instrument. At the same time, the network control system uses the vehicle instrument as the core of the network. It can control fracturing vehicles from different manufacturers. The sand mixer truck performs network control, which effectively avoids incompatibilities between various equipment manufacturers at the construction site.


2017 ◽  
Vol 38 (10) ◽  
pp. 931-941 ◽  
Author(s):  
Saeed Rezaei ◽  
Ashkan Latifi ◽  
Arash Nematzadeh

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