Retrospective report of social withdrawal during adolescence and current maladjustment in young adulthood: Cross‐cultural comparisons between Australian and South Korean students
Bibliographic record
Abstract
The current study investigated associations between the frequency of and motivations for social withdrawal during adolescence and emotional distress in young adulthood. Perceived motivations for social withdrawal included unsociability, isolation, shyness, and low mood. Social withdrawal during adolescence was assessed using a retrospective questionnaire completed by Australian and Korean university students. They also completed measures of general self-worth, social relationships, loneliness, social anxiety, and depression at university. Partial correlations and path analyses revealed that different motivations for social withdrawal had different risk status for later adjustment across the two samples. In particular, it appeared that shy and unsociable individuals in Korea showed better social and emotional adjustment than their counterparts in Australia. In contrast, social relationships of sad/depressed and isolated respondents in Korea appeared to be more seriously impaired than their Australian counterparts. These cross-cultural differences are discussed in terms of socio-cultural values and environments unique to the two countries.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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".