Factors Affecting Participation in Environmental Conservation of Undergraduate Students
Bibliographic record
Abstract
The purposes of this research were to study the level of participation in the environmental conservation of undergraduate students and to study and compare the factors affecting participation in the environmental conservation of students of different genders and academic years. The sample used in the research were 231 undergraduate students of 1 - 4 years in the Environmental Education, Faculty of Environment and Resource Studies, Mahasarakham University, from voluntary sampling. The tools used in the research include participation factors in environmental conservation. The statistics used in data analysis were frequency, percentage, mean, standard deviation, and One-Way ANOVA. The results showed that: 1. The level of factors affecting participation in environmental conservation of undergraduate students, classified by aspect, it was found that undergraduate students participated in environmental conservation at a high level, equal to 3.52. When considering each aspect, it was found that all aspects were at a high level, including leadership factors, support factors (cooperation, public sector, government sector, and private sector), personal attributes factors (gender, age, year, domicile), environmental factors (economic, social, environmental cultural aspect), media factors, legal factors, educational factors, and ideological/ inspirational factors, respectively. 2. There was no difference in students who have different genders and academic years in participation in environmental conservation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".