Do places matter? Socioeconomic disadvantage and behavioral problems of children in Canada.
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
This study evaluated the influence of neighborhoods and socioeconomic disadvantage on behavioral problems rated by parents and teachers in a nationally representative sample of children ages 4 to 11 years living in Canada. Between-neighborhood variation accounted for 7.6% and 6.6% of parent and teacher ratings, respectively. About 25.0% of this neighborhood variation could be explained by socioeconomic variables evenly divided between neighborhood and family-level measures. Family socioeconomic status, lone-parent family status, and percentage of lone parents in neighborhoods were strong, reliable predictors of behavioral problems. Ratings were contextualized: Fewer behavioral problems were assessed in children from well-off families living in disadvantaged neighborhoods, whereas more problems were assessed in children from poor families living in advantaged neighborhoods.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it