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Record W2469594261

Differential response and traditional protection investigation: a comparison of two child welfare investigation streams

2015· article· en· W2469594261 on OpenAlexaffvenueabout
Hee‐Jeong Yoo, Bruce MacLaurin, Morgan DeMone

Bibliographic record

VenueJournal of undergraduate research in Alberta · 2015
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSTREAMSWelfareDifferential (mechanical device)EconometricsEconomicsStatisticsMathematicsComputer scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION Determining an appropriate threshold for which children and families should receive child welfare services has been widely debated in literature. Workers are faced with multiple child welfare orientations when determining the appropriate level of intrusiveness during child maltreatment investigations [3]. Parental rights, family preservation, and safety of the child are some of the competing tensions in the child welfare model that investigating workers must balance [2,9]. Differential Response (DR) model is a flexible approach to child maltreatment investigations developed to provide a range of customized investigative streams incorporating family-centered, and strengths-based practices [4]. This model is a less intrusive approach to investigations for low-risk cases that do not present imminent risk to the child, compared to Traditional Protection Investigations (INV) [5,7]. There is a high degree of jurisdictional variation in screening, intake and administration of DR models resulting in a disparity of findings throughout child welfare research [4]. In 2002, the Alberta Response Model was created to allow child welfare agencies to provide flexible investigative streams to families based on the type and severity of child maltreatment [1,8]. The Family Enhancement Program works as part of the Alberta Response Model to provide children and families with a DR investigation stream [1]. High-risk cases are streamed to INV while lower risk families who are willing are streamed to the Family Enhancement Program [1]. This article will inform practitioners’ understandings of DR model by providing a provincial profile of DR streamed investigations while comparing child, household, maltreatment characteristics and case factor associated with each child welfare investigative stream based on the Alberta Incidence Study of Reported Child Abuse and Neglect 2008 (AIS-2008) [6]. METHODS This analysis is based on secondary analysis of the AIS-2008 dataset. The AIS-2008 is the second cycle of a provincial study that examines incidences of reported child abuse and neglect in Alberta for children 17 years and younger. This paper reports on findings based on a total weighted number of 26,957 child investigations that were noted as either DR streamed investigations, or INV streamed investigations. A total of 6,666 child investigations noted use of DR model, while an additional 20,291 child investigations noted use of INV model. Select comparisons of child, household, case and maltreatment factors from two child welfare investigation streams are presented in this analysis. Bivariate analyses and Pearson’s chi-squared test were used to compare each investigative stream and associated factors. For further information on methodology of the AIS-2008 refer to Chapter 2 of the full report [7]. RESULTS Figure 1 shows primary categories of all reported child maltreatment incidents and risk investigations streamed to DR and INV. Significant differences in child investigations were noted for younger children. Eleven percent of DR streamed investigations involved children who were less than 1 year old, and 8% of INV streamed investigations. Caseworkers were asked to report on nine caregiver risk factors, such as alcohol and/or drug abuse, cognitive impairment, and/or victim of intimate partner violence (IPV) [7]. While differences between the two investigative streams for caregiver risk factors would be expected, there were little differences noted. A risk investigation refers to situations where a specific incident of maltreatment has not yet occurred, however circumstances indicate that there is a significant future risk of maltreatment [7]. DR child investigations more frequently noted risk investigations than INV child investigations. For DR investigations, neglect was noted most frequently (38%), followed by exposure to intimate partner violence (23%), physical abuse (10%), and emotional maltreatment (9%). Ten percent of DR investigations noted emotional harm requiring treatment, compared to 16% of INV investigations. One percent of DR investigations noted physical harm severe enough to require medical attention, and 2% of INV investigations. The percentage of DR child investigations resulting in a formal child welfare placement was significantly less (5%) than INV child investigations (10%). Twenty-five percent of DR investigations remained open for ongoing services compared to 32% of INV investigations. DR investigations less often resulted an application to child welfare court (4%), than INV streamed investigations (13%). Figure 1. Primary Categories of All Reported Child Maltreatment Incidents and Risk Investigations in Alberta in 2008 by Child Welfare Investigation Streams . Percentages of type of maltreatment includes total number of child investigations (n=26,957) streamed to differential response (n=6,666), and traditional protection investigation (n=20,291). DISCUSSION AND CONCLUSIONS This secondary data analysis examined 26,957 child maltreatment investigations from the AIS-2008 dataset. The increased flexibility of DR model enables workers to balance some of the competing tensions in child welfare. DR model allows child welfare agencies to provide less intrusive approach to investigations for low-risk investigations, compared to INV model which is intended for investigations presenting greater severity of harm. This exploratory analysis examined differences in characteristics between children and families of child maltreatment investigations streamed to DR approach and INV approach. Future research should examine long term outcomes of investigations streamed to DR and INV. Exploring long term outcomes will provide greater insight into the effectiveness of DR model child maltreatment investigations. LIMITATIONS While the AIS-2008 dataset provides a unique opportunity to examine the child welfare response to reported maltreatment in Alberta, a number of considerations for this secondary analysis must be made when interpreting these findings. The AIS-2008 dataset; 1) only tracked reports investigated by child intervention services and did not include reports that were screened out, only investigated by police, and never reported; 2) is based on the assessments provided by the investigating child intervention workers and could not be independently verified; 3) is weighted using annual estimates which included counts of children investigated more than once during the year, therefore the unit of analysis for the weighted estimates was a child investigation; 4) as weighted estimates provided some instances where sample sizes were too small to derive publishable estimates [7].

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.207
GPT teacher head0.401
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2015
Admission routes3
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