Lifetime trajectories of socio-economic adversity and their associations with psychosocial factors and attitudes towards social class
Bibliographic record
Abstract
Scientific understanding of the associations between socio-economic adversity and other domains such as health and psychosocial functioning may be improved by employing extensive, prospective life course data to model inter-individual heterogeneity in socio-economic trajectories. This study applied Latent Class Growth Analysis to derive a typology of trajectories of socio-economic adversity, and compared the psychosocial profiles of the groups based on this typology. Data were used from 2,950 men and women participating in the MRC National Survey of Health and Development in Great Britain, ascertained prospectively since birth in 1946 until age 53. Trajectories of socio-economic adversity were based on indicators of occupational class, overcrowding, housing tenure, household amenities and financial hardship at ages 4, 11, 15, 36, 43 and 53, and education at age 26. Psychosocial factors included parental interest in education, self-management, neuroticism and attitudes towards social class and social mobility. Seven distinct trajectories were identified: persistent high; persistent low; strongly declining; gradually declining; increasing; early childhood; and relapsing high adversity. Key findings include that those with increasing adversity had high parental interest in education but low self-management and high neuroticism; that those with only early childhood adversity had a less favourable psychosocial profile than those with persistent low exposure; and that groups with declining adversity had relatively favourable attitudes towards education. Findings emphasise the need to consider socio-economic and personality mechanisms in the context of one another in order to better understand later life inequality.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".