Bibliographic record
Abstract
The present study deals with the effects of attachment styles and personality characteristics of mothers on anxiety in gifted adolescents.The study is a descriptive-survey research and the study population included all the gifted high school students in 2016-2017 academic years.Out of the study population, 120 gifted high school students were selected using Cochran formula based on a purposive and convenience method.Minnesota Multiphasic Personality Inventory-Adolescents Restructured was distributed amongst the girls and Minnesota Multiphasic Personality Inventory-Adults Restructured and Bartholomew's attachment styles were administered to the mothers.The central tendency, scattering and distribution indices were calculated and multivariate regression model was utilized to predict anxiety through personality characteristics and attachment styles of the mothers.The study results indicated that amongst attachment styles, there is a significant relationship between "avoidant attachment style" and "anxious attachment style" of the mothers with the anxiety in gifted adolescents in α=0.01 and α=0.05 levels, respectively.Also, amongst the mothers' personality characteristics, a significant relationship was found between threefold impairment (clinical, physical and cognitive), internalization, externalization, interpersonal, interests and pathology of the mothers' personalities with anxiety in the gifted adolescents in α=0.01 level.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.959 | 0.953 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".