Analysis of educational policies and environmental culture among Peruvian university students
Bibliographic record
Abstract
Environmental culture in university students refers to the set of knowledge, values and behaviors that they acquire and practice with the protection of the environment within their academic space, supported by environmental educational policies. We proposed to understand the existence of an inadequate environmental culture in university students. The objective of this study was to analyze university educational policies and environmental culture in Peruvian students, comparing the results according to sociodemographic variables. A total of 2448 intentionally chosen university students participated, a non-experimental cross-sectional design was used, a quantitative approach of comparative descriptive level was used. In addition, in the data analysis, the descriptive results are presented in a table of frequencies and percentages, while the inferential analyses are presented in statistics. A medium level of environmental culture was found at 57.3% with a tendency to be low at 37.3% in university students. In addition, the comparison of sociodemographic variables indicates that there are statistically significant differences (p < 0.05), therefore, the students from public universities, the area of social sciences and the last years of study present higher scores than the other comparison groups. In conclusion, environmental educational policies have not been adequate and applied by universities to generate an adequate environmental culture in university students within the academic field.
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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 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".