Challenging the Notion of Failure to Protect: Exploring the Protective Strategies of Abused Mothers Living in Urban and Remote Communities and Implications for Practice
Bibliographic record
Abstract
Many children are exposed to intimate partner violence against their mothers. Countering assumptions that abused women ‘fail to protect’ their children, this paper presents the results of a Canadian qualitative study that examined the protective strategies of 18 abused mothers, most of whom are Aboriginal. Half of these women were living in a large city and half were living in remote, northern communities. Despite geographic location, abused mothers engage in acts and behaviours to not only protect their children from immediate physical violence but also to mitigate the potential emotional harms of exposure to violence and to prevent their children from continuing the violence in their own future relationships. Relying on informal supports, such as family, was especially important for mothers living in northern, remote communities, and is not surprising given the few services available. Professionals must be aware of the range of strategies and approaches that mothers use, including those that do not involve formal systems (i.e. the police or shelter). Focusing on their strengths and protective capacities will help to empower abused mothers and limit unnecessary, inappropriate, or intrusive interventions. Recognising mothers' capacities will also lead to better outcomes for children, who fare best when their mothers are appropriately supported. Copyright © 2015 John Wiley & Sons, Ltd. ‘Abused mothers engage in acts and behaviours to protect their children from immediate physical violence’ Key Practitioner Messages Abused mothers engage in acts and behaviours to protect their children from the harms of exposure to violence, and these may differ for mothers living in remote, isolated communities. Mothers' protective acts extend beyond calling the police or going to shelter, and include informal supports. Professionals must inquire about mothers' protective strategies and incorporate into case plans. Professionals must support abused mothers so that they can help strengthen the mother‐child relationship and help children recover from violence. ‘Professionals must inquire about mothers' protective strategies and incorporate into case plans.’
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.047 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.027 | 0.041 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.007 | 0.019 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".