Writing resistance together

This piece of writing is a joint initiative by the participants in the Gender, Work and Organization writing workshop organized in Helsinki, Finland, in June 2019. This is a particular form of writing differently. We engage in collective writing and embody what it means to write resistance to established academic practices and conventions together. This is a form of emancipatory initiative where we care for each other as writers and as human beings. There are many author voices and we aim to keep the text open and dialogical. As such, this piece of writing is about suppressed thoughts and feelings that our collective picket line allows us to express. In order to maintain the open‐ended nature of the text, and perhaps also to retain some ‘dirtiness’ that is essential to writing, the article has not been language checked throughout by a native speaker of English.     

The Eurovision Song Contest – A Continent (still) Divided?

Credited as one of the most successful major televised music events held annually in Europe, the Eurovision Song Contest (ESC) still serves as a battlefield between Eastern and Western European aesthetic paradigms. Although the Western paradigm has long been regarded as an almost universal criterion of success, the contemporary ESC presents a unique opportunity for post-communist acts to contest that hegemony while playing with its conventions. This article examines how, in the post-1989 situation, the most successful Eastern European acts purposely exploited, juxtaposed and subverted several aesthetic categories, demonstrating their understanding of the conventions promoted at the ESC on the one hand, while undermining and contesting them on the other. The article argues for greater attention to such strategies as over-exploitation of stereotypes and auto-stereotypes, as well as mocking the prevailing aesthetics by playing with such notions as authenticity, folklore, nationalism, essentialism, camp, kitsch or hyper-reality and challenging the contest's utopian and nostalgic ideals.     

Juggling Between Parental and School Expectations: The Development of Domain‐Specific Acculturation Orientations in Early Adolescence

We examined how perceived acculturation expectations from parents and school, and ethnic discrimination predicted early adolescents’ heritage and mainstream acculturation orientations at home (private domain) and in school (public domain) one year later. We surveyed 263 early adolescents of immigrant background in Germany (M_age = 10.44 years, 60% female). Multigroup path analyses revealed that perceived acculturation expectations and ethnic discrimination were more strongly related to adolescents’ private than public acculturation orientations. Parental heritage expectations were the strongest predictor of adolescents’ acculturation orientations. Boys were more susceptible than girls to ethnic discrimination and acculturation expectations in school, which affected their private and public acculturation orientations. Results highlight the importance of integrating domain‐specific and gendered experiences when analyzing adolescents’ acculturative development.     

Accurate estimation for extra-Poisson variability assuming random effect models

In this study, the components of extra-Poisson variability are estimated assuming random effect models under a Bayesian approach. A standard existing methodology to estimate extra-Poisson variability assumes a negative binomial distribution. The obtained results show that using the proposed random effect model it is possible to get more accurate estimates for the extra-Poisson variability components when compared to the use of a negative binomial distribution where it is possible to estimate only one component of extra-Poisson variability. Some illustrative examples are introduced considering real data sets.     

A new regression model for bimodal data and applications in agriculture

We define the odd log-logistic exponential Gaussian regression with two systematic components, which extends the heteroscedastic Gaussian regression and it is suitable for bimodal data quite common in the agriculture area. We estimate the parameters by the method of maximum likelihood. Some simulations indicate that the maximum-likelihood estimators are accurate. The model assumptions are checked through case deletion and quantile residuals. The usefulness of the new regression model is illustrated by means of three real data sets in different areas of agriculture, where the data present bimodality.