The researcher’s participant roles in ethical data collection of Autistic interaction

The method of participant-observation is fundamental to ethnomethodological, ethnographic video-based fieldwork. Collecting data of the embodied interactions of non-speaking Autistic individuals surfaces questions that are central to the nature of video-based fieldwork: What are the technical and interactional challenges of navigating the researcher’s multiple participant roles during data collection? What are ethical issues that arise with emergent participant roles during data collection? Grounded in two contrasting pieces of data—one of two siblings in a display of intimacy, and another of a student displaying distress—this paper examines the multiple participant roles the EMCA researcher navigates moment-by-moment during the data collection process. Studying these roles unearths participant orientations to the camera, the complex interactional work undertaken by the researcher, and ethical dilemmas when the positionality of the researcher becomes blurred.

Peer Victimisation in Early Childhood; Observations of Participant Roles and Sex Differences

During middle childhood and adolescence, victimisation appears to be a group process involving different participant roles. However, peer reports with younger children (four to six years old) have failed to identify the participant roles of assistant (to the bully) reinforcers or defenders with much reliability. This may be because peer victimisation is a more dyadic process among younger children (behavioural reality), or because of limitations in young children’s cognitive capacity to identify these behaviours (cognitive limitations). The findings of an observational study which examined the group nature of peer victimisation among young children are presented. Observations were made of 56 children aged four and five years using time sampling during free play at school (totalling 43.5 h of observation). Records were made of their behaviour when an onlooker witnessed aggression by others, and also of others’ behaviour when they were being aggressive or being victimised. Although children other than the aggressor and target were present in nearly two thirds of the episodes of peer victimisation observed, few exhibited behavioural responses in line with the assistant, reinforcer or defender roles. This supports the behavioural reality rather than the cognitive limitations explanation. Sex differences were observed in types of aggression displayed by children, with boys more likely than girls to be physically aggressive. Children were less likely to be aggressive to other-sex peers and were most likely to be victimised by children of the same sex as them. There were also sex differences in children’s onlooker behaviour. The implications for our understanding of the development of peer victimisation and bullying in children are discussed.

Writing up or writing off crimes of domestic violence? A transitivity analysis of police reports

Between March 2019 and March 2020 in England and Wales (excludingGreater Manchester), there were 1,288,018 recorded incidents of domestic violence(DV, otherwise known as ‘domestic abuse’ or ‘DA’), an increase of 4.2% (51,404incidents) on the previous year (Office for National Statistics 2020). Only 56%of these were classified by police as ‘crimes’ (Office for National Statistics 2020).Additionally, despite the annual rise of DV the charging rate of suspects fell in2019–2020 by 20.5% (Crown Prosecution Service 2020). This raises two primaryquestions: 1) why are almost half of reported DV incidents not considered ‘crimes’?and 2) in spite of rising numbers of incidents, why do prosecutions continue to fall?These questions are central to this paper. A possible factor influencing attritionrates concerns the language used by police officers to record DV incidents. Thispaper, then, explores whether the linguistic choices made by police officers onjudicial reports of DV in a sample of cases collected from the year 2010 reflectimplicit attitudinal biases, that in turn, can potentially pre-empt out-of-court casedisposals within contemporaneous DV cases. If so, this may also go some way toexplaining the gap between cases reported as DV crimes and cases recorded assuch. The dataset under analysis comes from a corpus of 13 police-authored DVcases sent to prosecutors for charging decisions in one calendar month in 2010 (formore detail about the corpus, see Lynn and Canning 2021; Lea and Lynn 2012.All 13 cases were returned with a ‘simple caution’ outcome, which means thatnone progressed to prosecution. Two of these cases are used as representative ofthe 13 that comprise the corpus. The analysis of the data is carried out usingthe model of transitivity (Berry 1975; Halliday 1994) to identify participant roles,actions, and circumstances as well as their syntactic distribution. The analysisshows that officers’ lexical and syntactic choices yield patterns of agency thatdownplay suspects’ culpability on the one hand, and background victims on theother. The paper concludes by arguing that how police present agency, participantroles, and circumstantial elements in reports to prosecutors can encode a ‘preferredoutcome’ resulting in more lenient charging decisions.

Automatic classification of participant roles in cyberbullying: Can we detect victims, bullies, and bystanders in social media text?

Successful prevention of cyberbullying depends on the adequate detection of harmful messages. Given the impossibility of human moderation on the Social Web, intelligent systems are required to identify clues of cyberbullying automatically. Much work on cyberbullying detection focuses on detecting abusive language without analyzing the severity of the event nor the participants involved. Automatic analysis of participant roles in cyberbullying traces enables targeted bullying prevention strategies. In this paper, we aim to automatically detect different participant roles involved in textual cyberbullying traces, including bullies, victims, and bystanders. We describe the construction of two cyberbullying corpora (a Dutch and English corpus) that were both manually annotated with bullying types and participant roles and we perform a series of multiclass classification experiments to determine the feasibility of text-based cyberbullying participant role detection. The representative datasets present a data imbalance problem for which we investigate feature filtering and data resampling as skew mitigation techniques. We investigate the performance of feature-engineered single and ensemble classifier setups as well as transformer-based pretrained language models (PLMs). Cross-validation experiments revealed promising results for the detection of cyberbullying roles using PLM fine-tuning techniques, with the best classifier for English (RoBERTa) yielding a macro-averaged ${F_1}$ -score of 55.84%, and the best one for Dutch (RobBERT) yielding an ${F_1}$ -score of 56.73%. Experiment replication data and source code are available at https://osf.io/nb2r3.

Self-Efficacy and External Locus of Control as Predictors of Participant Roles in Relational Aggression

We examined the extent to which the perceived behavioral control factors of pro-social, emotional, or verbal-social self-efficacy (SE) as well as external locus of control (LOC) explain the variance between different participant roles: relational aggressors, relational victims, relational aggressive-victims, and bystanders. Participants included 1,518 adolescents (61.6% boys and 38.4% girls) from 15 Israeli middle and high schools. Multinomial logistic regression models indicated relational aggressors, and aggressive-victims had lower pro-social SE and higher verbal-social SE than relational victims and bystanders. Relational aggressors, aggressive-victims, and victims had more extensive external LOC than bystanders. The theoretical contribution of verbal-social SE is discussed, and practical implications are highlighted, in particular, regarding the relational aggressive-victim, who exhibits high-risk behaviors.

AGENT AND EXPERIENCER IN PUDARNYA PESONA CLEOPATRA NOVEL BY HABIBURRAHMAN EL SHIRAZY: A STUDY OF SEMANTIC ROLE

This research purposes at describing the roles of semantic study precisely the roles of agent and experiencer in Pudarnya Pesona Cleopatra novel written by Habiburrahman El Shirazy. The research conducted by the writer is qualitative research. The data of this study are agent and experiencer roles that the data source is taken from Pudarnya Pesona Cleopatra novel written by Habiburrahman El Shirazy published in 2003. The method that is used by the writer to collect the data is documentation with the steps: (1) figure out the sentences that contain agent and experiencer in that novel, (2) classify the types of sentences by investigating the novel. In analyzing data, the writer used Saeed’s theory of participant roles for the major theory. The result of this study shows that there are seventeen patterns that are classified into two roles. They are ten sentences of the agent and seven sentences of the experiencer.Keywords: Semantic, Participant Roles, Agent, Experiencer