Research

@article{Reeves2023b,

title = {LGBTQ+ domestic and family violence victim-survivors’ experiences of remote court hearings during the COVID-19 pandemic: The gendered dimensions of safety, independence and visibility},

author = {Ellen Reeves and Mary Iliadis and Naomi Pfitzner},

doi = {10.1177/17488958231216561},

issn = {1748-8966},

year  = {2023},

date = {2023-11-29},

journal = {Criminology & Criminal Justice},

publisher = {SAGE Publications},

abstract = { There was a significant uptake of remote court hearings during the COVID-19 pandemic for family violence intervention order applications in Victoria, Australia. Remote court hearings can alleviate the burden associated with victim-survivors appearing in court and confronting their alleged perpetrator, and facilitate the efficiency of justice processes. Most research on remote justice models that facilitate victim-survivors’ protection or participation has accounted for practitioner observations, leaving a gap in understanding of how victim-survivors experience remote hearings. Drawing on interviews with 11 lesbian, gay, bisexual, transgender and queer (LGBTQ+) domestic and family violence victim-survivors who participated in remote family violence intervention order hearings in Victoria during the pandemic, this article reveals that while remote hearings can promote feelings of safety, control and procedural justice, the process can also work to invisiblise some victim-survivors. Ultimately, we find that these tensions reflect the gendered dimensions and experiences that monopolise the intervention order process more generally. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Wu2023,

title = {KC-GEE: knowledge-based conditioning for generative event extraction},

author = {Tongtong Wu and Fatemeh Shiri and Jingqi Kang and Guilin Qi and Gholamreza Haffari and Yuan-Fang Li},

doi = {10.1007/s11280-023-01216-5},

issn = {1573-1413},

year  = {2023},

date = {2023-11-00},

journal = {World Wide Web},

volume = {26},

number = {6},

pages = {3983--3999},

publisher = {Springer Science and Business Media LLC},

abstract = {AbstractEvent extraction is an important, but challenging task. Many existing techniques decompose it into event and argument detection/classification subtasks, which are complex structured prediction problems. Generation-based extraction techniques lessen the complexity of the problem formulation and are able to leverage the reasoning capabilities of large pretrained language models. However, they still suffer from poor zero-shot generalizability and are ineffective in handling long contexts such as documents. We propose a generative event extraction model, KC-GEE, that addresses these limitations. A key contribution of KC-GEE is a novel knowledge-based conditioning technique that injects the schema of candidate event types as the prefix into each layer of an encoder-decoder language model. This enables effective zero-shot learning and improves supervised learning. Our experiments on two benchmark datasets demonstrate the strong performance of our KC-GEE model. It achieves particularly strong results in the challenging document-level extraction task and in the zero-shot learning setting, outperforming state-of-the-art models by up to 5.4 absolute F1 points.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Wheildon2023,

title = {Gender-based violence policy reform: assessing the risks and public value of co-production with survivors},

author = {Lisa J. Wheildon and Asher Flynn and Jacqui True and Abby Wild},

doi = {10.1332/239868021x16842395248135},

issn = {2398-6816},

year  = {2023},

date = {2023-10-00},

volume = {7},

number = {3},

pages = {450--466},

publisher = {Bristol University Press},

abstract = {Governments worldwide are increasingly engaging service users to reform public policies and services and enhance public value. Survivors of gender-based violence (GBV) are one group seeking to be heard by governments and gradually being engaged to improve policy outcomes. However, the history of the victims’ rights movement and feminist scholarship on political institutions indicate significant risks for survivors in these engagements with the state. This article examines the nature of these risks and how they are experienced and challenged, through a case study analysis of the implementation of the Australian state of Victoria’s Victim Survivors’ Advisory Council. Analysing government reports and interviews with survivors and policymakers, the article investigates how the state asserts control over survivors under the guise of co-production, inadvertently compromising public value creation. Informed by a feminist institutionalist lens, our analysis finds that efforts to address the power imbalances and gendered norms reflected in the informal rules of co-production are likely to better realise public value in terms of improved outcomes for all members of society, especially those experiencing GBV. The co-production risks we highlight and the ways to mitigate them we suggest are also relevant to other areas of co-production with other marginalised service users.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Meyer2023,

title = {Domestic Violence and Alcohol and Other Drug Use: Australian Pilot Intervention Findings},

author = {Silke Meyer and Nicola Helps and Jasmine McGowan and Harley Williamson},

doi = {10.1177/10497315231201366},

issn = {1552-7581},

year  = {2023},

date = {2023-09-18},

journal = {Research on Social Work Practice},

publisher = {SAGE Publications},

abstract = { Purpose: Problematic alcohol and drug use (AOD) is a contributing factor to escalate domestic violence (DV). Yet, combined DV and AOD interventions remain limited. This article examines a combined pilot intervention for men with comorbid AOD and DV use. Methods: Mixed methods with concurrent triangulation design. Data comprises victim-survivors' reports of abuse at intake and exit, interviews with men and victim-survivors at exit and 6-month followup, and 12-month follow-up court data. Study participants included 30 male program participants and 14 female victim-survivors. Results: Findings suggest reduced AOD and DV use at program exit, that appears maintained for most men at 6-month followup. The victim-survivor data suggests more positive outcomes among men who maintained or resumed their relationship with the victim-survivor than separated men. Conclusions: Findings indicate benefits of combined early interventions addressing comorbid AOD and DV use and highlight the importance of victim-survivor voices in program reviews. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hall2023,

title = {Identifying and responding to family adversity in Australian community and primary health settings: a multi-site cross sectional study},

author = {Teresa Hall and Leanne Constable and Sarah Loveday and Suzy Honisett and Natalie Schreurs and Sharon Goldfeld and Hayley Loftus and Renee Jones and Andrea Reupert and Marie B. H. Yap and Sue Woolfenden and Alicia Montgomery and Kim Dalziel and Cate Bailey and Glenn Pringle and Jane Fisher and Suzie Forell and Valsamma Eapen and Ric Haslam and Lena Sanci and John Eastwood and Harriet Hiscock},

doi = {10.3389/fpubh.2023.1147721},

issn = {2296-2565},

year  = {2023},

date = {2023-09-13},

journal = {Front. Public Health},

volume = {11},

publisher = {Frontiers Media SA},

abstract = {BackgroundUnaddressed family adversity has potentially modifiable, negative biopsychosocial impacts across the life course. Little is known about how Australian health and social practitioners identify and respond to family adversity in community and primary health settings.ObjectiveTo describe, in two Australian community health services: (1) the number of adversities experienced by caregivers, (2) practitioner identification of caregivers experiencing adversity, (3) practitioner response to caregivers experiencing adversity, and (4) caregiver uptake of referrals.MethodsSurvey of caregivers of children aged 0–8 years attending community health services in Victoria and New South Wales (NSW). Analysis described frequencies of caregiver self-reported: (1) experiences of adversity, (2) practitioner identification of adversity, (3) practitioner response to adversity, and (4) referral uptake. Analyses were sub-grouped by three adversity domains and site.Results349 caregivers (Victoria: n = 234; NSW: n = 115) completed the survey of whom 88% reported experiencing one or more family adversities. The median number of adversities was 4 (2–6). Only 43% of participants were directly asked about or discussed an adversity with a practitioner in the previous 6 months (Victoria: 30%; NSW: 68%). Among caregivers experiencing adversity, 30% received direct support (Victoria: 23%; NSW: 43%), and 14% received a referral (Victoria: 10%; NSW: 22%) for at least one adversity. Overall, 74% of caregivers accepted referrals when extended.ConclusionThe needs of Australian families experiencing high rates of adversity are not systematically identified nor responded to in community health services. This leaves significant scope for reform and enhancement of service responses to families experiencing adversity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jenkins2023,

title = {Exploring Food Waste Conversations on Social Media: A Sentiment, Emotion, and Topic Analysis of Twitter Data},

author = {Eva L. Jenkins and Dickson Lukose and Linda Brennan and Annika Molenaar and Tracy A. McCaffrey},

doi = {10.3390/su151813788},

issn = {2071-1050},

year  = {2023},

date = {2023-09-00},

journal = {Sustainability},

volume = {15},

number = {18},

publisher = {MDPI AG},

abstract = {Food waste is a complex issue requiring novel approaches to understand and identify areas that could be leveraged for food waste reduction. Data science techniques such as sentiment analysis, emotion analysis, and topic modelling could be used to explore big-picture themes of food waste discussions. This paper aimed to examine food waste discussions on Twitter and identify priority areas for future food waste communication campaigns and interventions. Australian tweets containing food-waste-related search terms were extracted from the Twitter Application Programming Interface from 2019–2021 and analysed using sentiment and emotion engines. Topic modelling was conducted using Latent Dirichlet Allocation. Engagement was calculated as the sum of likes, retweets, replies, and quotes. There were 39,449 tweets collected over three years. Tweets were mostly negative in sentiment and angry in emotion. The topic model identified 13 key topics such as eating to save food waste, morals, economics, and packaging. Engagement was higher for tweets with polarising sentiments and negative emotions. Overall, our interdisciplinary analysis highlighted the negative discourse surrounding food waste discussions and identified priority areas for food waste communication. Data science techniques should be used in the future to monitor public perceptions and understand priority areas for food waste reduction.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Tran2023,

title = {School-based universal mental health promotion intervention for adolescents in Vietnam: Two-arm, parallel, controlled trial},

author = {Thach Duc Tran and Huong Nguyen and Ian Shochet and Nga Nguyen and Nga La and Astrid Wurfl and Jayne Orr and Hau Nguyen and Ruby Stocker and Jane Fisher},

doi = {10.1017/gmh.2023.66},

issn = {2054-4251},

year  = {2023},

date = {2023-00-00},

journal = {Camb. prisms Glob. ment. health},

volume = {10},

publisher = {Cambridge University Press (CUP)},

abstract = {Abstract

	  The aim of this study was to evaluate the effects of Happy House, a universal school-based programme, in reducing adolescents’ depressive symptoms and improving their mental well-being, coping self-efficacy and school connectedness. This was a school-based, two-arm parallel controlled trial. Depressive symptoms were measured using the Centre for Epidemiologic Studies Depression Scale. Data were collected at recruitment, and at 2 weeks and 6 months post-intervention. Mixed-effect models were conducted to estimate the effects of the intervention on the outcomes. A total of 1,084 students were recruited. At 2 weeks post-intervention, the effect size on depressive symptoms was 0.11 (p = 0.011) and the odds of having clinically significant depressive symptoms were lower in the intervention compared to the control (0.56, p = 0.027). Both of these were no longer significant at 6 months post-intervention. Psychological well-being mean scores in the intervention were significantly higher than in the control at 2 weeks post-intervention (effect size 0.13). Coping self-efficacy mean scores were significantly higher in the intervention group at both 2-week and 6-month post-intervention (effect sizes from 0.17 to 0.26). Data support the potential of Happy House to reduce the prevalence of adolescent mental health problems and to promote positive mental health in the school context in Vietnam.},

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pubstate = {published},

tppubtype = {article}

}