Community-Based Study on Family-Related Contributory Factors for Childhood Unintentional Injuries in an Urban Setting of Sri Lanka
Bibliographic record
Abstract
A community-based descriptive cross-sectional study was carried out among children aged 1 to 4 years residing in an urban setting of Sri Lanka to assess the incidence and associated family-related factors of unintentional injuries. A total of 458 children were recruited using simple random sampling technique, giving a response rate of 91.6%. The incidence of unintentional injuries that needed medical attention during the study period of 3 months was 28.1 per 100 children (95% CI = 19.46-36.74). The factors that were significantly associated with the occurrence of unintentional injuries among children are low monthly income of the family (P = .045), low social support to the mother of index child (P = .022), nonauthoritative type of parenting of the mother of index child (P = .039), cared by person other than mother during day time (P = .002), frequent arguments between parents (P = .004), and frequent alcohol consumption of father (P = .001).
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".