The Correlation between Alexithymia with Gender among Nursing Students
Bibliographic record
Abstract
Background: alexithymia is a psychological condition characterized by the inability to recognize and express emotions verbally or non-verbally. People who experience alexithymia often have difficulty identifying and expressing their emotions appropriately and clearly.Purpose: the purpose of this study was to determine relationship of alexithymia with gender among nursing students in Universitas Padjadjaran.Methods: the population of this study was active students in the Bachelor's program of the Faculty of Nursing, Universitas Padjadjaran, Jatinangor/Garut and Pangandaran campus, who experienced social media addiction and are in the class of 2017, 2018, 2019, and 2020. The instrument used was the Toronto Alexithymia Scale-20 (TAS-20). Total sample was 590 students. This instrument was an instrument containing 20 statement items used to assess the level of alexithymia.Results: based on the results of the analysis of the data obtained, there is a relationship between the alexithymia level variable and gender with a sig value relationship. with a positive correlation coefficient value of 0.285, which means that the strength of the relationship between the two variables is sufficient.Conclusion: there is an adequate and positive relationship between gender and the level of alexithymia among nursing students in Universitas Padjadjaran.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".