Perfect image, depressed mood: Pathways from perfectionistic self‐presentation to depressive symptoms through online and in‐person connectedness among Canadian adolescents
Bibliographic record
Abstract
Abstract The Perfectionism Social Disconnection Model (PSDM) contends that perfectionism predicts psychopathology via social disconnection and has received support in adult and adolescent samples. However, little is known about the role of online connection. Consequently, this work tested whether online social connection and in‐person social support uniquely mediate the relation between perfectionistic self‐presentation and depressive symptoms among adolescents. A community sample of 354 adolescents ( M age = 15.51, SD = 2.07; 68.93% female; 73.44% White) completed surveys assessing these constructs at three time points, each spaced approximately 2 months apart. Results supported the PSDM at the between‐persons level such that perfectionistic self‐presentation was related to depressive symptoms via online social connection and in‐person social support. Importantly, these findings both replicate previous work which has predominantly focused on in‐person connectedness and extend this body of work by demonstrating that online social connection is a significant mediator over and above the role of in‐person social support. However, there was no longitudinal evidence for the PSDM at the within‐persons level. Future directions and implications are discussed.
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 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 | 0.002 |
| 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 | 0.000 | 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".