Post G20: The Challenge of Change,Implementing Evidence‐based Public Order Policing

In the wake of the 2011 ‘riots’, public order policing tactics in England and Wales have once again been brought into question. Yet, the riots came two years since police regulatory authorities in the UK called for fundamental reforms to the policing of public order. Questions are raised about why the change called for appears to have been so slow and what can be done to assist reform. This paper suggests that developing an evidence‐based policing approach within the field of public order policing to inform police decision‐making would provide the answers. By doing so, the paper addresses some of the possible barriers to implementing evidence‐based policing in public order and calls for police academic partnership to overcome these to make ‘change’ an ongoing reality. Copyright © 2012 John Wiley & Sons, Ltd.     

A Business Model for Managing System Change Through Strategic Financing and Performance Indicators: A Case Study

This article describes how a system of care operated by a county government agency used a fiscal crisis as the opportunity to reform its children's system. A cross-system response to the crisis is outlined that includes a system of care framework coupled with a business model, inter-departmental collaboration and leadership, the use of strategic reinvestment strategies, and a quality improvement system that focuses on key indicators. Implementation of the system change is described with a specific focus on cross-system entry points, financing strategies that re-allocate funds from deep-end programs to community-based services, and management oversight through the use of performance indicators to monitor and support effectiveness. This article examines the results of the system change, including the diversion of youth from system penetration, the reduction in residential treatment bed days, the re-allocation of these savings to community-based services, and the outcomes of children who were diverted from residential care and served in the community. The article offers a number of recommendations for other communities contemplating system change.     

Birth order, sex of child, and perceptions of parental favoritism

Many studies have examined factors that influence discriminative parental solicitude. Sex, birth order, and age of the mother are a few factors demonstrated to influence levels of parental investment (especially as measured by offspring self-report). One indicator of a high level of parental investment is being a parental favorite. Using self-reports from a sample of several hundred young adults, we secured support for two hypotheses related to the influence of birth order and sex on parental favoritism. Fathers are not perceived as having a favorite child more often than are mothers, but are more likely to favor female children than are mothers. Mothers are perceived to be more likely to favor female children in blended sibships. Both mothers and fathers are perceived as favoring genetically-related children. The results also suggest that the birth order of the parental favorite varies with the birth order of the participant. Firstborns and lastborns report a pattern of favoritism that suggests parents favor firstborn and lastborn children. The discussion addresses limitations of the methodology and presents directions for future research.     

EMOVAL : évaluation automatique de la valence et de l’activation émotionnelles des textes à l’aide d’une méta-norme de 5656 mots-racines

EMOVAL: automatic evaluation the emotional valence and arousal of texts using a 5656 root-words metanorm. EMOVAL is an emotional valence and arousal analysis model of texts. EMOVAL draws from linguistic tradition the hypothesis that every word has a denotative aspect (“meaning”) and a connotative aspect (“affective halo”). It uses a meta-analysis of seven French norms and one English norm with the objective to characterize the emotional valence of texts, paragraphs, or sentences in a pleasant or unpleasant way. The meta-analysis indicates that the seven French norms data are highly correlated in between (0.82 to 0.99), and highly correlated with the Affectiv Norm for English Words (Bradley et Lang, 1999) (0.81 to 0.97). Arousal values taken from Affective Norm for English Words (ANEW) (Bradley et Lang, 1999) and the Leleu (1987) norm are significately correlated (0.55). The metanorm has 5656 words (nouns, verbs, adjectives, adverbs) characterized in valence (−1 to +1), and 3265 words characterized in arousal. These items are used by EMOVAL for valence judgments of texts. Two types of texts are proposed: the evaluation of the whole (702) or of extracts (110) of a corpus of sentences judged in a seven-point scale (−3 very unpleasant to +3 very pleasant) (Bestgen et al., 2004), and of 12 texts positively valenced (happiness and good surprise) and negatively valenced (fear, anger, disgust, sadness, and bad surprise). These two types of tests confirm the psychological pertinence of EMOVAL. Limits regarding the arousal dimension are discussed. The metanorm presented in this article can be obtained from the authors.     

La version française du dictionnaire pour le LIWC : modalités de construction et exemples d’utilisation

LIWC is, originally, a text analysis program that counts words of English texts in psychologically meaningful categories. It provides an analysis (in percentage) for 80 dimensions of language (functional words, topics, punctuation). The goal of this methodological note is to present the French LIWC. This version respects the structure of the categories of the English version of the software and gives explanations about the user guide such the preparation of the to be analyzed texts. Then, we explain the decisions for translating the English dictionary into French. We emphasize the constraints imposed by the morphology of written French language and the difficulties encountered (elision of the article, elision of negation and of verbs’ tense). Presenting the translation problems allows understanding the modalities of construction of the dictionary and allows for a LIWC user to build a personalized dictionary in order to analyze contents more suited to the research needs. A qualitative comparison of dimensions obtained with both the French and English versions for 66 bilingual texts of various types and contents provides satisfactory results. A statistical comparison of 119 expressive writings produced by students from three university courses (Humanities, Sciences and Psychology) about a given event (success or failure to an exam) shows the validity of the French version for identifying the expressed contents. Thus, this tool should be efficient for undertaking research in different fields of psychology (health, work and education) concerning oral and written language produced in different contexts.     

Children's human figure drawings do not measure intellectual ability

Children typically follow a well-defined series of stages as they learn to draw, but the rate at which they progress through these stages varies from child to child. Some experts have argued that these individual differences in drawing development reflect individual differences in intelligence. Here we assessed the validity of a drawing test that is commonly used to assess children’s intellectual abilities. In a single study, 125 5- and 6-year-olds completed the Draw-A-Person: A Quantitative Scoring System (DAP:QSS) and the Wechsler Preschool and Primary Scale of Intelligence-Revised (WPPSI-R) or the Wechsler Abbreviated Scale of Intelligence (WASI). Although there was a statistically significant correlation between scores on the DAP:QSS and scores on the Wechsler tests, when the scores of individual children were examined, the DAP:QSS yielded a high number of false positives and false negatives for low intellectual functioning. We conclude that the DAP:QSS is not a valid measure of intellectual ability and should not be used as a screening tool.     

Minimally Creative Thought

Creativity has received, and continues to receive, comparatively little analysis in philosophy and the brain and behavioural sciences. This is in spite of the importance of creative thought and action, and the many and varied resources of theories of mind. Here an alternative approach to analyzing creativity is suggested: start from the bottom up with minimally creative thought. Minimally creative thought depends non‐accidentally upon agency, is novel relative to the acting agent, and could not have been tokened before the time it is in fact tokened, relative to the agent in question. Thoughts that meet these three conditions—agency, psychological novelty, and modal—are what may be called cognitive breakthroughs. Even if such breakthroughs are not necessary to or definitive of richer creativity, they are indeed central to much of creativity. The minimal analysis provides a more workable explanandum for theories of creativity of varied motivation and method.     

Artificial neural networks for analyzing inter-limb coordination: the golf chip shot

Motor control research relies on theories, such as coordination dynamics, adapted from physical sciences to explain the emergence of coordinated movement in biological systems. Historically, many studies of coordination have involved inter-limb coordination of relatively few degrees of freedom. This study looked at the high-dimensional inter-limb coordination used to perform the golf chip shot toward six different target distances. This study also introduces a visualization of high-dimensional coordination relevant within the coordination dynamics theoretical framework. A specific type of Artificial Neural Network (ANN), the Self-Organizing Map (SOM), was used for the analysis. In this study, the trajectory of consecutive best-matching nodes on the output map was used as a collective variable and subsequently fed into a second SOM which was used to create visualization of coordination stability. The SOM trajectories showed changes in coordination between movement patterns used for short chip shots and movement patterns used for long chip shots. The attractor diagrams showed non-linear phase transitions for three out of four players. The methods used in this study may offer a solution for researchers from a coordination dynamics perspective who intend to use data obtained from discrete high-dimensional movements.     

Diagnosing fatigue in gait patterns by support vector machines and self-organizing maps

The aim of the study was to train and test support vector machines (SVM) and self-organizing maps (SOM) to correctly classify gait patterns before, during and after complete leg exhaustion by isokinetic leg exercises. Ground reaction forces were derived for 18 gait cycles on 9 adult participants. Immediately before the trials 7–12, participants were required to completely exhaust their calves with the aid of additional weights (44.4 ± 8.8 kg). Data were analyzed using: (a) the time courses directly and (b) only the deviations from each individual’s calculated average gait pattern. On an inter-individual level the person recognition of the gait patterns was 100% realizable. Fatigue recognition was also highly probable at 98.1%. Additionally, applied SOMs allowed an alternative visualization of the development of fatigue in the gait patterns over the progressive fatiguing exercise regimen.     

Neuro-cognitive mechanisms of decision making in joint action: a human-robot interaction study

In this paper we present a model for action preparation and decision making in cooperative tasks that is inspired by recent experimental findings about the neuro-cognitive mechanisms supporting joint action in humans. It implements the coordination of actions and goals among the partners as a dynamic process that integrates contextual cues, shared task knowledge and predicted outcome of others’ motor behavior. The control architecture is formalized by a system of coupled dynamic neural fields representing a distributed network of local but connected neural populations. Different pools of neurons encode task-relevant information about action means, task goals and context in the form of self-sustained activation patterns. These patterns are triggered by input from connected populations and evolve continuously in time under the influence of recurrent interactions. The dynamic model of joint action is evaluated in a task in which a robot and a human jointly construct a toy object. We show that the highly context sensitive mapping from action observation onto appropriate complementary actions allows coping with dynamically changing joint action situations.