Emotional regulation, attachment style, and assertiveness as determinants of well-being in emerging adults
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction The emerging adult stage of life is a time of many positive changes, as well as stress and uncertainty. Certain psychological characteristics - such as emotional regulation, attachment style, or assertiveness – could help these adults thrive and maintain positive mental health. This study aimed to explore the influence of these variables on the well-being of emerging adults. Methods The sample included 360 French emerging adults, with a mean age of 21.3 years. Well-being was assessed with the Mental Health Continuum, emotional regulation with the Emotional Regulation Difficulties Scale, assertiveness with the Assertiveness Scale, and attachment styles with the Relationship Scales Questionnaire. Results Results showed that judgment toward one’s own emotional experience and shyness (as part of assertiveness) predicted emerging adults’ well-being. This study also highlighted the role of substance use and experiences of violence on emerging adults’ emotional regulation and well-being. Discussion Results support the importance of in-person and distance education and prevention to support emerging adults’ well-being, especially in higher education institutions and in times of the COVID pandemic.
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.
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 | 0.000 |
| 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 it