A Study of Social Intelligence and Environmental Ethics of Senior Secondary Students Studying in English and Hindi Medium School
Bibliographic record
Abstract
The present study attempts to study the relationship which is there in Social Intelligence and also inEnvironmental Ethics of Senior Secondary students of Saharanpur district. This is a survey study underdescriptive research whereby a sample of hundred students was selected from both Hindi mediumschools as well as English medium schools. For the collection of data, the researcher has administratedEnvironmental Ethics scale by Dr. Mrs Haseen Taj & Social Intelligence Scale by Mr. N.K Chadha & Ms.Usha. Data collected were analysed by applying t-test and Pearson’s coefficient correlation (r). The levelof significance was kept 0.01 & 0.05 to test the hypotheses. It was observed from the findings onEnvironmental Ethics and Social Intelligence that there is a significant difference between Studentsstudying in English and Hindi Medium of Senior Secondary Schools. Research also concludes that thereis relationship between Social Intelligence and Environmental Ethics.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".