Understanding Emotions in Adolescents: Validation of the Indonesian Version of the Adolescent Alexithymia Scale
Bibliographic record
Abstract
Adolescence, marked by significant changes, often leads to emotional tension and instability associated with alexithymia. This study aimed to validate the Indonesian version of the Adolescent Alexithymia Scale, hypothesizing that its internal structure was unidimensional. Participants included 70 adolescents aged 13 to 18 years (M_age = 16.44; SD = 1.44). Data were collected using the Indonesian version of the Adolescent Alexithymia Scale, consisting of 24 items representing the four alexithymia indicators. The results revealed that the scale has a unidimensional internal structure, with 11 valid items, and sufficient validity and reliability coefficients. These items collectively represent the four main characteristics of alexithymia. The most dominant indicator is the difficulty in identifying and distinguishing between feelings and emotional bodily sensations. This research implies that this scale needs to be tested on different populations and in different contexts.
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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 | 0.002 | 0.005 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".