Socioeconomic Status and Child Development
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
Lower socioeconomic status (SES) is widely accepted to have deleterious effects on the well-being and development of children and adolescents. However, rigorous meta-analytic methods have not been applied to determine the degree to which SES supports or limits children’s and adolescents behavioural, cognitive and language development. While SES is largely determined by combinations of variables such as parental education level, marital status, and income, SES may also interact with other variables mediating or moderating the influence of SES on children’s behavior and cognitive development. Thus, the objective of this study was to conduct a meta-analysis of research on the relationship between composite measures of SES and developmental outcomes for children and adolescents between the ages of birth to 19 years of age. The results revealed very small to small, but significant effects of SES on aspects of the three outcome variables of literacy and language, aggression, and internalizing behaviours including depression. Many other factors come in to play that may better explain the small, but significant relationship between SES and development. Given the small observed associations, policy makers and programmers may focus interventions on family and community factors that contribute to child and adolescent developmental outcomes across the socioeconomic spectrum.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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