The Development of a Training Program to Enhance Mental Immunity in the New Normal Era for Roi Et Rajabhat University Students Based on the Concept of Psychology. (Thailand)
Bibliographic record
Abstract
The main purpose of this research were to 1) develop the training program to enhance mental immunity in the new normal era for university students based on the concept of psychology. 2) to study the results of a training program to enhance mental immunity for university students based on the concept of psychology. The sample consisted of 28 students from Roi Et Rajabhat University, selected by cluster random sampling. Multi-stage sampling was employed. The research instrument includes 1) a training program to enhance mental immunity in the new normal era based on the concept of psychology and 2) a measurement of mental immunity. It was a 5-rating scale form with 25 items, each with an item discrimination of 0.21 - 0.67 and a reliability of 0.82. Statistics employed for analyses of the data included percentage, mean, standard deviation, and t-test for dependent samples. The results of the research were as follows: 1) The training program to enhance mental immunity consisted of twelve activities and was at “the high” level of property (M = 4.20, S.D. = 0.70). 2) The sample who participated in the program had a level of mental immunity after the experiment higher than before the experiment, statistically significant at the .05 level.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".