Gender differences in the behavioral associates of loneliness and social dissatisfaction in kindergarten
Bibliographic record
Abstract
BACKGROUND: Much of the evidence suggesting that loneliness is a risk factor for socio-emotional adjustment difficulties comes from studies with older children and adolescents. Comparatively less is known about the mental health implications of loneliness in early childhood. The goals of the present study were to provide additional convergent validity of the Loneliness and Social Dissatisfaction Questionnaire for Young Children (Cassidy & Asher, 1992) and explore potential gender differences in relations between loneliness and behavior problems in early childhood. METHODS: A multiple source assessment of 139 kindergarten-aged children (M(age) = 64.76 mos., SD = 4.48) was undertaken, including parental ratings, behavioral observations, child interviews, and teacher ratings. RESULTS: Overall, loneliness was positively associated with anxiety, aggression, and peer exclusion. However, several gender differences were also observed. CONCLUSIONS: Loneliness may be a marker variable for both early internalizing and externalizing problems. However, gender differences in the behavioral associates of loneliness are also evident.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".