Ballantyne, N. (2019). The ethics and politics of human service technology: the case of predictive modelling in New Zealand child protection. The Hong Kong Journal of Social Work 53(01n02): 15–27. https://doi.org/10.1142/s0219246219000044
2.
BaumannDJDalgleishLFlukeJ, et al. (2011) The Decision-making Ecology.
Washington, DC:
American Humane Association.
3.
BaumannDFlukeJDalgleishL, et al. (2013) The decision-making ecology. In: ShlonskyABenbenishtyR (eds) From Evidence to Outcomes in Child Welfare: An International Reader.
New York:
Oxford, pp.24–38.
4.
BaumannDFlukeJGrahamJC, Wittenstromet al. (2010) Disproportionality in Child Protective Services: The Preliminary Results of Statewide Reform Efforts.
Texas:
Texas Department of Family and Protective Services.
5.
BenbenishtyRDavidson-AradBLópezM, et al. (2016)
Decision making in child protection: An international comparative study on maltreatment substantiation, risk assessment and interventions recommendations, and the role of professionals’ child welfare attitudes. Child Abuse & Neglect49: 63–75.
6.
BoskEAFeelyM (2020)
The goldilocks problem: Tensions between actuarially based and clinical judgment in child welfare decision making. Social Service Review94(4): 659–668.
7.
BywatersPBradyGBuntingL, et al. (2018)
Inequalities in English child protection practice under austerity: A universal challenge?Child & Family Social Work23(1): 53–2206.
8.
BywatersPScourfieldJWebbC, et al. (2019)
Paradoxical evidence on ethnic inequities in child welfare: Towards a research agenda. Children and Youth Services Review96: 145–154.
9.
CookLL (2017)
Making sense of the initial home visit: The role of intuition in child and family social workers’ assessments of risk. Journal of Social Work Practice31(4): 431–444.
10.
Cuccaro-AlaminSFoustRVaithianathanR, et al. (2017)
Risk assessment and decision making in child protective services: Predictive risk modeling in context. Children and Youth Services Review79: 291–298.
11.
DettlaffAJBoydR (2020)
Racial disproportionality and disparities in the child welfare system: Why do they exist, and what can be done to address them?The ANNALS of the American Academy of Political and Social Science692(1): 253–274.
12.
DettlaffAJRivauxSLBaumannDJ, et al. (2011)
Disentangling substantiation: The influence of race, income, and risk on the substantiation decision in child welfare. Children and Youth Services Review33(9): 1630–1637.
13.
DohertyP (2016)
Child protection threshold talk and ambivalent case formulations in ‘borderline’ care proceedings cases. Qualitative Social Work16(5): 698–619.
14.
FeatherstoneBGuptaAMorrisK M, et al. (2018)
Let’s stop feeding the risk monster: Towards a social model of ‘child protection’. Families, relationships and societies. Families, Relationships and Societies 7(1): 7–22. doi: http://dx.doi.org/10.1332/204674316X14552878034622
15.
FeelyMBoskEA (2021)
That which is essential has been made invisible: The need to bring a structural risk perspective to reduce racial disproportionality in child welfare. Race and Social Problems13: 49–62.
16.
FergusonH (2016)
What social workers do in performing child protection work: Evidence from research into face-to-face practice. Child & Family Social Work21(3): 283–294. https://doi.org/10.1111/cfs.12142
17.
FergusonHWarwickLCoonerTS, et al. (2020)
The nature and culture of social work with children and families in long-term casework: Findings from a qualitative longitudinal study. Child & Family Social Work25(3): 694–703.
18.
FlukeJDBaumannDJDalgleishLI, et al. (2021). Racial disparities in child welfare: A decision-making ecology view. In: DettlaffAJ (ed.) Racial Disproportionality and Disparities in the Child Welfare System.
Cham:
Springer International Publishing, pp.339–352.
19.
FlukeJDChabotMFallonB, et al. (2010)
Placement decisions and disparities among aboriginal groups: An application of the decision making ecology through multi-level analysis. Child Abuse & Neglect34(1): 57–69.
20.
Fluke, J. D., Baumann, D. J., Dalgleish, L. I., & Kern, H. D. (2014). Decisions to Protect Children: A Decision Making Ecology. In J. E. Korbin & R. D. Krugman (Eds.), Handbook of Child Maltreatment (pp. 463–476). Springer Netherlands. https://doi.org/10.1007/978-94-007-7208-3_25
21.
FlukeJDCorwinTWHollinsheadDM, et al. (2016)
Family preservation or child safety? Associations between child welfare workers' experience, position, and perspectives. Children and Youth Services Review69: 210–218.
22.
FontSABergerLMSlackKS (2012)
Examining racial disproportionality in child protective services case decisions. Children and Youth Services Review34(11): 2188–2200.
23.
FontSAMaguire-JackK (2015)
Decision-making in child protective services: Influences at multiple levels of the social ecology. Child Abuse & Neglect47: 70–82.
24.
Gilbert, N., Parton, N., & Skivenes, M. (2011). Child Protection Systems: International Trends and Orientations. Oxford University Press.
25.
GrahamJCDettlaffAJBaumannDJ, et al. (2015)
The decision making ecology of placing a child into foster care: A structural equation model. Child Abuse & Neglect49: 12–23.
26.
HelmD (2011)
Judgements or assumptions? The role of analysis in assessing children and young people's needs. British Journal of Social Work41(5): 894–911.
27.
HelmDRoesch-MarshA (2016)
The ecology of judgement: A model for understanding and improving social work judgements. British Journal of Social Work 47(5): 1361–1376. doi: 10.1093/bjsw/bcw091
28.
HoodRGorinSGoldacreA, et al. (2020)
Exploring drivers of demand for child protection services in an English local authority. Child & Family Social Work25(3): 657–664.
29.
KeddellE (2011)
Going home: Managing ‘risk’ through relationship in returning children from foster care to their families of origin. Qualitative Social Work11(6): 604–620.
30.
KeddellE (2014)
Current debates on variability in child welfare decision-making: A selected literature review. Social Sciences3(4): 916–940.
31.
Keddell, E. (2015). The ethics of predictive risk modelling in the Aotearoa/New Zealand child welfare context: child abuse prevention or neo-liberal tool?. Critical Social Policy 35(1): 69–88.
32.
KeddellE (2019)
Algorithmic justice in child protection: Statistical fairness, social justice and the implications for practice. Social Sciences8(10): 281.
KeddellECleaverKFitzmauriceL (2021b)
The perspectives of community-based practitioners on preventing baby removals: Addressing legitimate and illegitimate factors. Children and Youth Services Review127: 106126.
36.
KeddellEStanleyT (2019) Critical debates in child protection: The production of risk in changing times. In: WebbS (ed.) The Routledge Handbook of Critical Social Work.
Milton Park:
Routledge, pp.412–515.
37.
Keddell, E., & Hyslop, I. (2020). Networked Decisions: Decision-Making Thresholds in Child Protection. The British Journal of Social Work 50(7), 1961–1980. https://doi.org/10.1093/bjsw/bcz131
38.
McLaughlinAMGrayEWilsonMG (2017)
From tenuous to tenacious: Social justice practice in child welfare. Journal of Public Child Welfare11(4-5): 568–518.
39.
McLaughlinMJonson-ReidM (2017)
The relationship between child welfare financing, screening, and substantiation. Children and Youth Services Review82: 407–412.
40.
NyathiN (2018)
Child protection decision-making: Social workers’ perceptions. Journal of Social Work Practice32(2): 189–203.
PlattDTurneyD (2014)
Making threshold decisions in child protection: A conceptual analysis. British Journal of Social Work44(6): 1472–1490.
43.
WarnerJ (2021)
Social work legitimacy: Democratising research, policy and practice in child protection. The British Journal of Social Work51(4): 1168–1185.
44.
Webb, C., Bywaters, P., Scourfield, J., McCartan, C., Bunting, L., Davidson, G., & Morris, K. (2020, 2020/04/01/). Untangling child welfare inequalities and the ‘Inverse Intervention Law’ in England. Children and Youth Services Review, 111, 104849. https://doi.org/https://doi.org/10.1016/j.childyouth.2020.104849
45.
WebsterMMcNabbD (2016)
New public management and information communication technology: Organisational influences on frontline child protection practice. Aotearoa New Zealand Social Work28(2): 51–29.
46.
WhittakerA (2018)
How do child-protection practitioners make decisions in real-life situations? Lessons from the psychology of decision making. The British Journal of Social Work48(7): 1967–1984.
47.
Wolfe, D. (2011). Risk factors for child abuse perpetration. In J. W. White, M. Koss, & A. Kazdin (Eds.), Violence against women and children, Vol 1: Mapping the terrain. American Psychological Association, xxii, 332. https://doi.org/doi: 10.1037/12307-002