Social assistance dynamics in Norway revisited: A two‐decade prospective study of trajectories of young social assistance recipients
Bibliographic record
Abstract
This article revisits earlier research on social assistance (SA) dynamics by applying a holistic life‐course approach, made possible by sequence analysis. We followed the life‐course over 20 years of young recipients of SA in Norway. The data material was derived from administrative data collected and linked by Statistics Norway. The study population was first‐time SA recipients aged 18–24 years in 1995. In addition to SA, spells of social security, schooling, work and earnings were examined. We found that SA plays a minor role over time, but that social security receipt constitutes an important trajectory for more than a quarter of the SA population. Education and work with medium earnings make up distinctly different and rather successful trajectories for about half of the SA population. Gender and early school‐leaving matter for trajectory affiliation. Women’s trajectories are to a greater extent than men’s characterised by unstable employment and low‐paid work.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".