Farming, identity and well-being: managing changing gender roles within Western European farm families

This article is concerned with how men and women on farms socially construct their gender and work identities through interaction with each other and public representations of themselves. It is argued that identity is a process, and like gender, it is socially constructed through ‘doing’ identity.
Farming has changed tremendously over the last forty years in Europe. The position of women in the labour market and on the family farm has also undergone significant changes. In Western Europe, women in general and women on family farms are more likely to be active in the labour market than they were forty years ago. While it remains the case that all of their labour on the farm is not properly recorded, they now also have visible, paid employment. Scholars have been surprised that farm women’s gender identity has not changed more significantly with this changed labour market presence. This article argues that in order to understand this limited change we need to understand how men and women in family farms verify and reinforce farming work identities and farming gender identities. It is argued that while off-farm work does not ‘look’ like gender deviant work, it is because it questions the male breadwinner role. An analysis of this helps us understand why the discourse of the family farm remains so dominant and so persistent. In 2012 and 2013, a qualitative study was undertaken in Northern Ireland to examine the gender implications of the EU rural development programme on farms and rural areas. Some of the data gathered as part of this study is interpreted to shed light on how and why particular work and gender identities are constructed within the farm family.

Emotional development among early school-age children: Gender differences in the role of problem behaviours

There has been an increasing focus on social and emotional development in educational programmes in early childhood as both variables are believed to influence behavioural outcomes in the classroom. However, relationships between social and emotional development and behaviour in early childhood have rarely been explored. This article sets out to investigate the conceptualisation of these variables and their inter-relationships. Structural equation models were used to assess if differences exist between boys and girls in relation to social and emotional competences, which could affect the relative success of such programmes. This article is based on cross-sectional data collected from 749 four- to six-year-olds and their teachers. The findings generally supported the hypothesised relationships between social and emotional development variables and prosocial behaviour (including internalising behaviour) for boys and girls. However, some gender differences were noted in externalising behaviour, which teachers often consider to be most significant due to its potentially disruptive nature in the classroom.

Engendering Hope: A person-centred reflection on technology and gender

This paper examines instances of recent musical and artistic works and asks to what extent it makes sense to regard certain practices and technologies as gendered. It looks at a number of strategies for making, suggesting that male gender stereotypes are as prevalent and unhelpful (to practitioners) as female ones. It looks at aspects of the working environments of practitioners to determine whether changes in such conditions might alleviate the gender mismatch in enrolment in higher education courses featuring ubiquitous technologies. The paper identifies historical precedents for technology gendering in which readings of such gendering have shifted radically, suggesting they offer scope for optimism in our longer-term reading of the gendered-ness of current practices. The paper also touches on the extent to which a ‘research’ ethos––the foregrounding of the essential human attributes of inquisitiveness and empathy––may contribute to our capacity to tell better, less binary stories of otherness in all its forms.

An Evidential Improvement for Gender Profiling.

CCTV systems are broadly deployed in the present world. To ensure
in-time reaction for intelligent surveillance, it is a fundamental task for real-world
applications to determine the gender of people of interest. However, normal video
algorithms for gender profiling (usually face profiling) have three drawbacks.
First, the profiling result is always uncertain. Second, for a time-lasting gender
profiling algorithm, the result is not stable. The degree of certainty usually varies, sometimes even to the extent that a male is classified as a female, and vice versa. Third, for a robust profiling result in cases were a person’s face is not visible, other features, such as body shape, are required. These algorithms may provide different recognition results - at the very least, they will provide different degrees of certainties. To overcome these problems, in this paper, we introduce an evidential approach that makes use of profiling results from multiple algorithms over a period of time. Experiments show that this approach does provide better results than single profiling results and classic fusion results.

Evidential Fusion for Gender Profiling

Gender profiling is a fundamental task that helps CCTV systems to
provide better service for intelligent surveillance. Since subjects being detected
by CCTVs are not always cooperative, a few profiling algorithms are proposed
to deal with situations when faces of subjects are not available, among which
the most common approach is to analyze subjects’ body shape information. In
addition, there are some drawbacks for normal profiling algorithms considered
in real applications. First, the profiling result is always uncertain. Second, for a
time-lasting gender profiling algorithm, the result is not stable. The degree of
certainty usually varies, sometimes even to the extent that a male is classified
as a female, and vice versa. These facets are studied in a recent paper [16] using
Dempster-Shafer theory. In particular, Denoeux’s cautious rule is applied for
fusion mass functions through time lines. However, this paper points out that if
severe mis-classification is happened at the beginning of the time line, the result
of applying Denoeux’s rule could be disastrous. To remedy this weakness,
in this paper, we propose two generalizations to the DS approach proposed in
[16] that incorporates time-window and time-attenuation, respectively, in applying
Denoeux’s rule along with time lines, for which the DS approach is a special
case. Experiments show that these two generalizations do provide better results
than their predecessor when mis-classifications happen.