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The future of policing and crime reduction in England and Wales seems firmly set in the partnership arena. Reports of many successes in this area are frequently circulated and there is no doubt that properly organised partnerships can have a major effect in particular circumstances. However, relationships between partners can sometimes be less than cohesive, particularly at a functional level, leading to undesirable consequences. This paper considers the relationship between key partners in a particular local crime reduction partnership and examines the political problems that can sometimes occur and which frustrate policy makers and planning in this area.

The English sector is characterised by an expanding and increasingly differentiated set of higher education providers (HEPs) and an ever-more diverse student body. As a consequence, HEPs are as differentiated in their widening participation (WP) approaches as they are in every other aspect of the business of HE, and this has led to tensions between why and how they should go about the business of WP. Are HEPs driven by the desire to enhance social justice or merely responding to regulatory pressure? This chapter discusses how changing market regulatory regimes have interreacted with, and often conflicted with, institutional missions as they try to respond to the dual policy imperatives discussed in earlier chapters: the economic, human capital expansionary dynamic and the desire to enhance social justice through access to the HE system.

The purpose of this paper is to investigate the impacts of serious teacher misbehaviour (TMB) in schools from the perspective of headteachers, a largely un-researched area.

Data were collected via the documentary analysis of misconduct cases from the Teaching Agency and semi-structured interviews with five headteachers who had managed serious cases.

The research suggests four primary impacts of serious TMB, affecting other teachers, students, the reputation of the school and headteachers themselves. The paper concludes by suggesting a fifth impact affecting public trust in the teaching profession.

Although rare, serious TMB can be highly damaging. Furthermore, the findings suggest that it is almost impossible to predict and so this paper suggests a “map” of the impacts helping headteachers to manage and contain it when/if the worst does happen.

Empirical studies of the impacts of serious organisational behaviour are scarce; empirical studies of serious organisational behaviour in schools are non-existent and so this paper addresses that gap.

There is a great deal of interest in the environment these days, and while much of that interest focuses on saving the world, a lot of it relates to learning about nature. Field guides are among the most popular natural history guides for the general public; it sometimes seems that almost every household must have at least one lurking in a corner. There are an incredible variety of field guides available for inquiring naturalists. The well‐known Peterson, Golden, and Audubon series and the typical bird, flower, and tree guides are just the tip of the iceberg.

People with schizophrenia and related psychoses may be more likely to be ‘treatment‐resistant’ when dually diagnosed with intellectual disabilities. This case study highlights many of the difficulties which can occur in their assessment and management. Clozapine is currently the best available intervention for treatment‐resistant schizophrenia, and its use has increased in people with intellectual disabilities. However, it is not always effective, and a wide range of adjunctive strategies have been suggestive and tried. The evidence base for the specific use of these additional strategies in people with intellectual disabilities needs to be increased.

A narrative review of existing research literature was conducted to identify practices that are likely to improve the quality of de-escalation and use-of-force training for police officers.

Previous reviews of de-escalation and use-of-force training literature were examined to identify promising training practices, and more targeted literature searches of various databases were undertaken to learn more about the potential impact of each practice on a trainee's ability to learn, retain, and transfer their training. Semi-structured interviews with five subject matter experts were also conducted to assess the degree to which they believed the identified practices were relevant to de-escalation and use-of-force training, and would enhance the quality of such training.

Twenty practices emerged from the literature search. Each was deemed relevant and useful by the subject matter experts. These could be mapped on to four elements of training: (1) commitment to training (e.g. securing organizational support for training), (2) development of training (e.g. aligning training formats with learning objectives), (3) implementation of training (e.g. providing effective corrective feedback) and (4) evaluation and ongoing assessment of training (e.g. using multifaceted evaluation tools to monitor and modify training as necessary).

This review of training practices that may be relevant to de-escalation and use-of-force training is the broadest one conducted to date. The review should prompt more organized attempts to quantify the effectiveness of the training practices (e.g. through meta-analyses), and encourage more focused testing in a police training environment to determine their impact.

This paper develops a generalizable, machine-learning-based method for measuring established marketing constructs using passive analysis of consumer-generated textual data from service reviews. The method is demonstrated using topic and sentiment analysis along dimensions of an existing scale: lodging quality index (LQI).

The method induces numerical scale ratings from text-based data such as consumer reviews. This is accomplished by automatically developing a dictionary from words within a set of existing scale items, rather a more manual process. This dictionary is used to analyze textual consumer review data, inducing topic and sentiment along various dimensions. Data produced is equivalent with Likert scores.

Paired t-tests reveal that the text analysis technique the authors develop produces data that is equivalent to Likert data from the same individual. Results from the authors’ second study apply the method to real-world consumer hotel reviews.

Results demonstrate a novel means of using natural language processing in a way to complement or replace traditional survey methods. The approach the authors outline unlocks the ability to rapidly and efficiently analyze text in terms of any existing scale without the need to first manually develop a dictionary.

The technique makes a methodological contribution by outlining a new means of generating scale-equivalent data from text alone. The method has the potential to both unlock entirely new sources of data and potentially change how service satisfaction is assessed and opens the door for analysis of text in terms of a wider range of constructs.