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1 – 3 of 3Jonathan Passmore and David Tee
This study aimed to evaluate the potential of artificial intelligence (AI) as a tool for knowledge synthesis, the production of written content and the delivery of coaching…
Abstract
Purpose
This study aimed to evaluate the potential of artificial intelligence (AI) as a tool for knowledge synthesis, the production of written content and the delivery of coaching conversations.
Design/methodology/approach
The research employed the use of experts to evaluate the outputs from ChatGPT's AI tool in blind tests to review the accuracy and value of outcomes for written content and for coaching conversations.
Findings
The results from these tasks indicate that there is a significant gap between comparative search tools such as Google Scholar, specialist online discovery tools (EBSCO and PsycNet) and GPT-4's performance. GPT-4 lacks the accuracy and detail which can be found through other tools, although the material produced has strong face validity. It argues organisations, academic institutions and training providers should put in place policies regarding the use of such tools, and professional bodies should amend ethical codes of practice to reduce the risks of false claims being used in published work.
Originality/value
This is the first research paper to evaluate the current potential of generative AI tools for research, knowledge curation and coaching conversations.
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Keywords
Ellen A. Donnelly, Madeline Stenger, Daniel J. O'Connell, Adam Gavnik, Jullianne Regalado and Laura Bayona-Roman
This study explores the determinants of police officer support for pre-arrest/booking deflection programs that divert people presenting with substance use and/or mental health…
Abstract
Purpose
This study explores the determinants of police officer support for pre-arrest/booking deflection programs that divert people presenting with substance use and/or mental health disorder symptoms out of the criminal justice system and connect them to supportive services.
Design/methodology/approach
This study analyzes responses from 254 surveys fielded to police officers in Delaware. Questionnaires asked about views on leadership, approaches toward crime, training, occupational experience and officer’s personal characteristics. The study applies a new machine learning method called kernel-based regularized least squares (KRLS) for non-linearities and interactions among independent variables. Estimates from a KRLS model are compared with those from an ordinary least square regression (OLS) model.
Findings
Support for diversion is positively associated with leadership endorsing diversion and thinking of new ways to solve problems. Tough-on-crime attitudes diminish programmatic support. Tenure becomes less predictive of police attitudes in the KRLS model, suggesting interactions with other factors. The KRLS model explains a larger proportion of the variance in officer attitudes than the traditional OLS model.
Originality/value
The study demonstrates the usefulness of the KRLS method for practitioners and scholars seeking to illuminate patterns in police attitudes. It further underscores the importance of agency leadership in legitimizing deflection as a pathway to addressing behavioral health challenges in communities.
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Elanor Webb, Benedetta Lupattelli Gencarelli, Grace Keaveney and Deborah Morris
The prevalence of exposure to adversity is elevated in autistic populations, compared to neurotypical peers. Despite this, the frequency and nature of early adverse experiences…
Abstract
Purpose
The prevalence of exposure to adversity is elevated in autistic populations, compared to neurotypical peers. Despite this, the frequency and nature of early adverse experiences are not well understood in autistic adults, with several underlying methodological limitations in the available literature. The purpose of this study is to systematically synthesise and analyse the prevalence of childhood adversity in this marginalised population, in accordance with the adverse childhood experiences (ACEs) framework.
Design/methodology/approach
Peer-reviewed empirical research articles were systematically searched for from electronic databases and screened against established inclusion criteria. Pooled prevalence rates for individual ACE types were calculated.
Findings
Four papers were included (N = 732), all of which used a predominantly or exclusively female sample. Only sexual abuse was reported in all papers, with a pooled prevalence rate of 38%. Physical abuse and emotional abuse were less frequently explored, with two papers reporting on these ACEs, though obtained comparable and higher pooled prevalence rates (39% and 49%, respectively). Pooled prevalence rates could be calculated for neither neglect nor “household” ACEs because of insufficient data. The limited state of the evidence, in conjunction with high levels of heterogeneity and poor sample representativeness found, positions the ACEs of autistic adults as a critical research priority.
Originality/value
To the best of the authors’ knowledge, this study is the first to systematically synthesise the prevalence of early childhood adversities, as conceptualised in accordance with the ACEs framework, in adults with autistic traits.
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