Early Adolescent’s Emotional Intelligence Family Assessment Device Rieffe’s Children’s
Bibliographic record
Abstract
Abstract: With respect to the relationship between family functioning and the early adolescent’s alexithymia construct is still being developed with empirical support. The psychological literature on how family functioning may be related to early adolescent’s psychopathology has grown substantially in the last two decades. Alexithymia refers to difficulties in indentifying and to an externally oriented, unimaginative way of thinking. Hence, this research follows a specific objective for determination of the association between family functioning and early adolescent’s alexithymia. The present study was carried out among 234 Iranian students in the second and third grades of guidance schools (age 12-15) in Tehran, Iran. The students (girls and boys) were clustered through random and multistage sampling. Data were collected by employing two selected instruments the Rieffe’s Children’s Alexithymia Scale (2006) consistent with the original adult questionnaire st for alexithymia (TAS-20) in the 1 stage and Family Assessment Device (FAD) based on McMaster’s model nd in the 2 stage. The statistical findings, with respect to family functioning and alexithymia, Pearson correlation between subscales and total of the family functioning and alexithymia was indicated that family function (dysfunction) is significantly and positively correlated with alexithymia.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".