Friendship instability and depressive symptoms in emerging adulthood
Bibliographic record
Abstract
Objective This study aimed to examine the link between friendship instability during emerging adulthood and depressive symptoms. The moderating role of gender and the pursuit (or not) of postsecondary education was also tested. Participants: A total of 268 participants (60.7% women) was interviewed annually between the ages of 22 and 26. Methods: Friendship instability was measured by asking the participants to name their three best friends each year and depressive symptoms were assessed at ages 22 and 26. Results: A multiple hierarchical regression analysis predicting depressive symptoms at age 26 (while controlling for symptoms at age 22) revealed a triple interaction between friendship instability, gender and the pursuit of postsecondary education. Specifically, friendship instability predicted depressive symptoms at age 26, but only among women pursuing postsecondary education. Conclusions: These results highlight the importance of maintaining friendships for these individuals.
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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 | 0.000 | 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 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".