Pathways From Early Life Adversities to Youth Marginalization: A Longitudinal Study of Youth Not in Education, Employment, or Training
Bibliographic record
Abstract
PURPOSE: Youth who are Not in Education, Employment, or Training (NEET) are at risk for numerous long-term occupational, social, and mental health-related sequelae. The aim of the present study was to investigate mediated pathways from early life risk factors to NEET status in early adulthood, with a particular focus on the role of the family environment during adolescence. METHODS: Participants were 6,403 respondents from the National Longitudinal Survey of Children and Youth, who were aged 10-11 years in cycles 1 (1994-1995) to 4 (2000-2001). Parents reported on indicators of early life adversity as well as parent-child conflict at age 12-13. Adolescents reported on their mental health and behaviour at age 14-15. NEET status was assessed at age 24 using tax information from the linked T1 Family File. Indirect pathways from childhood exposures, through adolescent factors, to NEET status in young adulthood were assessed via mediation analysis. RESULTS: At age 10/11, living with a single parent, low household income, stressful life events, and having a parent with a chronic condition were associated with greater likelihood of being NEET at age 24; parents' social support was negatively associated with NEET. These associations were mediated through parental depression at age 10/11, parent-child conflict at age 12/13, and adolescent mental health and behaviour at age 14/15. DISCUSSION: Our results add to a large body of literature linking family stressors, parental depression, parent-child interaction, and adolescent behaviour symptoms, suggesting a chain of influence through these factors toward young adult marginalization from the labour market.
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 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 | 0.002 | 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".