Towards a Cognitive Science of Social Inequality: Children's attention-related ERPs and cortisol vary with their socioeconomic status
Bibliographic record
Abstract
We investigated the relationships between socioeconomic status (SES) and the neural correlates of selective attention by comparing event-related potentials (ERPs) in low-and high-SES preadolescents during an auditory selective attention task.Salivary cortisol levels were also determined before and after the task.ERP difference waveforms between attended and unattended auditory stimuli (Nd, difference negativity) were significant in the high-SES group but not in the low-SES group.However, post-ERP cortisol levels were elevated only for low-SES children and there were no differences between the groups in reaction times and accuracy.We conclude that low-SES children have reduced attentional selectivity, but at the cost of heightened executive control which allows them to inhibit responding to attended distracters and perform the task as well as high-SES children.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.004 |
| 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".