Psychometric properties of the 20-item Toronto Alexithymia Scale in a group of italian younger adolescents.
Bibliographic record
Abstract
Objective. Alexithymia is a personality construct that inhibits and interferes with normal affect regulating abilities. The purpose of our study was to assess psychometric properties of TAS-20 in younger adolescents. Methods. Data were collected from 508 younger adolescents (48.8% male and 51.2% female) with a mean age of 12.56 years (DS=0.50, range: 12–13 years). We administered the following scales: 20-Item-Toronto Alexithymia Scale. Results. The confirmatory factor analysis performed on the second random subsample showed reasonable goodness-of-fit for the oblique bi-factorial model: [chi]2 (32, n=254)=54.22; p=0.008; χ2/df=1.69; NNFI=0.92; CFI=0.95; SRMR=0.05; RMSEA=0.05; 90% confidence interval=0.027–0.078. Conclusion. Based on the outcomes of our research we support the idea of evaluating adolescents for 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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".