Level Of Anxiety Among The Athletes Of High And Low Helplessness
Bibliographic record
Abstract
Research Background: Anxiety is an emotion characterized by an unpleasant state of inner turmoil, often accompanied by nervous behavior. Helplessness is a sign of depression. Helplessness refers to multifaceted emotional, impulsivity and cognitive predisposition which usually is a consequence of a negative evaluation about the prospects of the person. In this study investigator find out the impact of level of helplessness on anxiety of athletes. Objectives: The study objective was, to compare the significant difference in level of anxiety among the athletes of high and low helplessness. Other objective was, to study the significant difference in level of anxiety among male and female athletes. Procedure: The present study, one hundred twenty athletes were selected. Out of them, sixty athletes were selected from high level helplessness, in which thirty were selected from male athletes and thirty were selected from female athletes as well as in the same way sixty athletes were selected from low level helplessness, in which thirty were selected from male athletes and thirty were selected from female athletes. The purposive sampling technique was used for the selection the sample. Their age range between was 18 to 30 years. In this study Comprehensive Anxiety Scale is developed by Dr. R. L. Bhardwaj, Dr. H. Sharma, and Dr. M. Bhargava and Helplessness Scale is developed by G. P. Mathur and R. K. Bhatnagar have been used. Conclusions: It is concluded that, the athletes of low helplessness have found low level of anxiety than athletes of high helplessness. There is insignificant difference found in level of anxiety among the male and female athletes. Another concluded that, there is insignificant interaction found among type of athletes and type of gender in terms of their level of anxiety.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".