A Comparative Study On The Physical Education Programs Of The Government And Private Schools In Tripura
Bibliographic record
Abstract
The present research examines the physical education programs of the government and private schools in Tripura. For this study, the researcher has selected 88 nos. of government schools, which are under Vidyajyoti schools, and 28 nos. of private schools (government unaided). 88 nos. of Vidyajyoti schools (government) were selected by using the purposive sampling method: 55 nos. of Vidyajyoti schools, which are located in rural areas, and 33 nos. of Vidyajyoti schools, which are located in urban areas in Tripura. On the other hand, 28 nos. of private schools were selected by the same method: 18 nos. of private schools, which are located in rural areas, and 10 nos. of private schools, which are located in urban areas in Tripura. To obtain the data, the researcher used a questionnaire on the physical education program that was constructed and standardized by Dr. S. K. Paul under the name of S. K. Paul’s Physical Education Program Scale. This scale was administered to the physical education personnel of the rural and urban Vidyajyoti schools and private schools in Tripura. The obtained data was analyzed using descriptive statistics and inferential statistics (t-test). Descriptive statistics implied that the data was more or less normal. And a t-test revealed that there were significant differences in the physical education programs of Vidyajyoti and private schools in Tripura. So, the present study suggests that larger-scale studies are required for more generalization
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".