Oscar Wilde’s “The Happy Prince” : The Hidden Messages and the Debate on the Target Audience

Oscar Wilde’s fairytales have been read to children for more than a century. Nevertheless, since the time of their publication in 1888 and 1891, the target audience of The Happy Prince and Other Tales and A House of Pomegranates have been the concern of critics. Delving into the context behind the rich and colourful imagery, one can find implications of homosexuality, the Paterian aesthetic and religious connotations. According to Carol Tattersall, The Happy Prince and Other Tales successfully mislead the public that it is innocent of any intention to undermine established standards of living or writing. Tattersall’s argument is based on comparing the first collection to Wilde’s second, A House of Pomegranates, which was perceived as “offensive and immoral” (136). On the other hand, William Butler Yeats states in his introduction to The Complete Works of Oscar Wilde that overall the reviewers of The Happy Prince and Other Tales were hostile because of Wilde’s aesthetic views (ixxvi). But Yeats overlooks the fact that Wilde was very pleased and proud, dashing notes to friends and reviewers and signing copies to many people (Tattersall 129). In general, the reception of Wilde’s first collection was more positive than that of the second because it was milder and more subtle in its controversial themes.

How do neighbouring populations affect local population change over time?

This study covers a period when society changed from a pre-industrial agricultural society to a post-industrial service-producing society. Parallel with this social transformation, major population changes took place. In this study, we analyse how local population changes are affected by neighbouring populations. To do so we use the last 200 years of local population change that redistributed population in Sweden. We use literature to identify several different processes and spatial dependencies in the redistribution between a parish and its surrounding parishes. The analysis is based on a unique unchanged historical parish division, and we use an index of local spatial correlation to describe different kinds of spatial dependencies that have influenced the redistribution of the population. To control inherent time dependencies, we introduce a non-separable spatial temporal correlation model into the analysis of population redistribution. Hereby, several different spatial dependencies can be observed simultaneously over time. The main conclusions are that while local population changes have been highly dependent on the neighbouring populations in the 19th century, this spatial dependence have become insignificant already when two parishes is separated by 5 kilometres in the late 20th century. Another conclusion is that the time dependency in the population change is higher when the population redistribution is weak, as it currently is and as it was during the 19th century until the start of industrial revolution.