Exploring the Relationship of Emotional Intelligence with Mental Health among Early Adolescents
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
This study investigates the link of emotional intelligence (EI), with mental health scales and sub-scales (somaticsymptom, anxiety, social dysfunction and depression) in Iranian high schools students. The data was made up of247 high school students of 8 schools (124 Boy and 123 Girl). The research design was a quantitative and testsof alternative hypotheses. This study utilized General Health Questionnaire (GHQ) to measure mental healthscales and sub-scales and Emotional Quotient Inventory, Youth Version (EQ-I YV) to assess emotionalintelligence. Data analysis included frequencies, percentages, means scores, Pearson’s correlation and, simpleregression analysis. The results of this study support the hypothesis that is a significant relationship of emotionalintelligence with mental health scales and sub-scales scores. In addition, this study revealed that mental healthscales and sub-scales scores influences by emotional intelligence.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it