Living with parents with problematic substance use: Impacts and turning points
Bibliographic record
Abstract
BACKGROUND: Growing up in an environment where substance use is prevalent creates a climate for adverse childhood experiences. These experiences can contribute to mental and psychological problems later in life. METHODS: This study used an exploratory study design to explore the experiences of individuals whose upbringing was influenced by substance use at home or who had parents with addiction problems. RESULTS: Four themes shaped the participants' lives: (1) impact of substance use at home on children; (2) school influences on substance use; (3) aggravating traumatic life experiences, and d) rebuilding a battered life. CONCLUSION: Growing up in homes with addictions created an environment for traumatic events and encounters. Participants adopted diverse strategies to cope with these experiences, such as leaving home, using substances early in life, and dropping out of school. Screening and intervention for childhood trauma should be encouraged both in schools and community health settings. Such interventions can reduce substance use among school children to deal with ensuing trauma.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".