The relationship between impulsive behavior and alexithymia in pupils
Bibliographic record
Abstract
Objective To study the relationship between impulsive behavior and alexithymia in pupils in Changsha. Methods 702 pupils were tested with Barratt impulsivity scale (BIS-11) and Toronto alexithymia scale (TAS-20). Results (1) Male pupils had significantly higher scores of total BIS and non-planning impulsiveness than female (24.47±5.30 vs 23.40±5.59, P<0.05; 62.25±9.46 vs 60.35±9.91, P<0.05). Pupils in elder age group had only significantly higher total score of BIS than pupils in younger age group (total: 62.36±9.69 vs 60.29±9.68, P<0.01). (2)Pupils with high impulsivity had significantly higher scores of total and factor scores of alexithymia than pupils with low impulsivity (total: 57.43±10.16 vs 46.55±8.77, P<0.01). The total scores of BIS were positively correlated with total scores of alexithymia (r=0.40, P<0.01) and factor scores of alexithymia (r=0.25~0.33, P<0.01). Stepwise regression analysis revealed that total scores of BIS explained by DIF, DDF and EOT were 18%. Conclusion There are certain gender and age differences in impulsivity impulsive behavior of 8 to 13 years old pupils. There exist the low to moderate correlations between impulsivity and alexithymia in pupils. Key words: Impulsivity; Alexithymia; Pupil
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.002 | 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".