Through a national collection, the Swedish Police identify and classify vulnerable neighborhoods. Areas are assessed through police perceptions regarding high concentrations of certain problems and criminal activity, such as public acts of violence with risk of harming third parties, open drug markets and organised crime structures. The purpose of this study has been to see whether it is possible to statistically discover these neighborhoods based on socioeconomic and demographic data. Initially, in a national comparison, areas that are defined as vulnerable neighborhoods by the national collection, was compared with other areas in the country. This was done based on a statistical grid consisting of squares with the dimension of 250 x 250 meters, with each square holding information about socio-demographic data. The main aim has been to identify a statistical model that more objectively can identify squares that are vulnerable or not, compared to the police's more subjective assessment. Result from logistic regression analyses implies that vulnerable neighborhoods from the national collection show greater odds at having high concentrations of residents with foreign background, higher unemployment rates and more households with single parents. Lastly, the best fitted regression model for explaining these areas by the means of pseudo R2-value, were used to calculate a prediction value for each square. This value was then analysed using a GIS-software, to discover any areas that in the national collection was classified as vulnerable, but according to the model no longer met the criteria, and then vice versa. The overall result indicate that it is possible to discover areas with higher concentrations of certain characteristics seen in vulnerable neighborhoods, using spatial analyses and logistic regressions of micro-places, to more objectively classify these areas. By aggregating crime data, the result of this study can in the future mean a more effective implementation for police authorities.

Tidigare forskning har i stor utsträckning fokuserat på de traditionella personlighetsdimensionerna i Big Five-modellen (extraversion, omtänksamhet, samvetsgrannhet, neuroticism och öppenhet) och visat att finns ett samband mellan vissa av dessa dimensioner och en känsla av samhörighet (KASAM). Till exempel att extraversion och omtänksamhet relaterar till KASAM. I föreliggande studie så undersöktes relationen mellan de mer subtila aspekterna av Big Five (t.ex. självsäkerhet och entusiasm som aspekter av extraversion) och KASAM. Vidare så undersöktes relationen mellan KASAM respektive Big Five aspekterna (BFA) och sex bakgrundsvariabler (yrke, tjänstgöringstid, typ av tjänst, ålder, kön och civilstånd). 135 personer med anställning inom polismyndigheten eller kriminalvården deltog genom att svara på enkät som bestod av Big Five Aspect Scale och Sense Of Coherence-13 scale. Syftet med studien var att bidra till en mer nyanserad bild av personlighetsstrukturen jämfört med tidigare forskning. Resultaten i föreliggande studie visade på få samband mellan KASAM, BFA och de sex bakgrundsvariablerna.

The aim is to study how the Police build rela­tions by publishing Facebook posts and how relation building is expressed in the form and content of the texts. More specifi­cally, the study examines the picture that the writing police and the police authorities paint of their activities, and the effect that the posts can be envisaged to have on the receivers.   The material consists of four posts from two police authorities, Växjö/Alvesta and Kalmar. This is ana­ly­sed with a method borrowed from systemic-functional linguistics (SFL) and close reading. The results are then interpreted on the basis of SFL and tradi­tional stylistic theory.   The result shows that the Facebook posts bring both opportunities and risks in building relations. The studied posts consist mostly of declarative sentences, with only a small proportion of exhortations and offers. No questions occur at all. The posts display a large stylistic breadth and varied content from the spheres of police activity, such as combating violence and drunkenness or dealing with missing persons and property.   There seems to be a will among the Police to establish contact with the general public, toning down the image of a strict authority with a monopoly on violence, and the offi­cers working for the authority appear as empathetic human beings. The conclusion is that the communication of the Police with the general public via Facebook is a balan­cing act between, on the one hand, seeming good-humoured and human, and on the other hand the risk of seeming less serious and authoritative. In texts with a serious content presented in a light-hearted form with ironic undertones, the Police risk under­mining their own authority. Despite this, the Facebook posts from the Police can be said to be in line with the catchwords of their activity: engaged, efficient and accessible. The Police also try to adjust the style of the posts to what is generally found on Facebook.