Környezeti attitűd vizsgálat az edelényi gimnáziumban. A szelektív hulladékgyűjtés megítélése
Bibliographic record
Abstract
The study of environmental attitude in secondary school of Edeleny city. The judgement of waste selectionWith the increasing pressure on landfill operators and local governments over the amount and type of different waste going to landfill, moves have to be taken to reduce, divert and recover materials.It is necessary to increase the amount of house waste in the selection.We were doing the study in year of 2010 with the sample of 82 students in the school.More than 90.0% of the young people know that a waste selection is very important for recycling.About 75.0% of the students were favour a reasonable and eco-shopping in your life, but a quarter of respondents were pessimistic.More than 66.0% of the young people had got possibility to household waste selection in the school.Our most important study hypotheses are the followings: (1) We hoped by the young age groups the largescale support and positive reception of the waste selection.(2) We did not hope appreciable differences between the sexes of students for answers to the individual questions.(3) We thought that the type of residence is basically determined by the perception of certain types of waste management issues.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".