A Systematic Review of Community-Level Protective Factors in Children Exposed to Maltreatment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Childhood maltreatment and neglect are associated with a host of negative outcomes. Yet, some children show resilience despite their exposure to these traumatic events. Several protective factors have been documented in the literature, but few studies focus on protective factors in the child's community that can promote resilience. The purpose of this review was to provide a comprehensive portrait of the impact of community protective factors on the resilience of abused and neglected children. The databases PsycNet and PubMed were used to screen the literature relying on the following inclusion criteria: (1) published in English or in French; (2) report empirical and quantitative data; (3) include a minimum sample size of 30 participants; (4) rely on a sample of maltreated children or adolescents under the age of 24; (5) examine the associations between community protective factors and indicators of psychological adaptation; and (6) include outcome measures that assessed either positive adaptation or the absence of symptomatology in participants. Of the 9,553 articles identified, 44 studies met the eligibility criteria for inclusion in this review. Although many protective factors show significant results, several methodological limitations remain to be examined to affirm that these community variables have a significant impact on the level of resilience of maltreated children. Since child maltreatment is a systemic issue, it remains important to fully understand how community protective factors operate on the resilience of these children as it can greatly inform practitioners and community institutions on how to intervene with populations at risk of maltreatment.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it