Interconnections between Emotion Recognition, Self-Processes and Psychological Well-Being in Adolescents
Bibliographic record
Abstract
Background: Adolescence is a critical developmental period for mentalization and emotion regulation skills. Studies show that during this time, adolescents may experience greater vulnerability to challenges of mental and emotional well-being. Studies also show that self-skills, such as mentalization, self-compassion, and self-control are independently associated with feelings of global self-worth or psychological well-being. To date, no known studies have explored interconnected relations among these self-skills, despite significant overlaps in the social-biological development of these skills. Aims: To investigate interconnected relations among psychological well-being, mentalization, self-compassion and self-control. Gender differences in these relations are explored. Method: As part of a larger, longitudinal study of adolescent well-being, this cross-sectional study drew on a variety of self-report measures, investigating relations among adolescents’ self-reports of psychological well-being, emotion recognition, self-control, and self-compassion. Participants consisted of 88 girls and 57 boys, mean age 13.38. Results: Main results showed associations among emotion recognition, self-control and self-compassion and feelings of global self-worth. Specifically, results showed that understanding negative emotions in others relates to lower levels of self-compassion and feelings of self-worth. Further, adolescents who report low levels of self-control reported uncompassionate self-responding and lower levels of self-worth. Gender differences and implications for further research and adolescent social-emotional interventions 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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".