E-waste Awareness Among Young Generation
Bibliographic record
Abstract
Environmental pollution is becoming a high-priority concern, as it threatens the natural resources of many countries. In this context, electronic waste (e-waste) pollution is expected to play an important role in the ecosystem. E-waste is an emerging type of pollutant, defined as the various forms of electrical and electronic material that have stopped being of value to their users or no longer satisfy their original purpose. In our study, the aim was to measure the awareness of young generations regarding the e-waste concept and to analyze how much young people are familiar with the regaining activities. To achieve the goal of this study, an e-waste survey of 9 multiple choice questions was formed in an online survey platform. This paper provides a panorama of the awareness, actual motives for change and disposal method, attitudes and other factors potentially explaining the intention to recycle, and deterrents to recycling. Keywords: e-waste, recycling, mobile phone, environment, statistics
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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 | 0.001 | 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 | 0.000 | 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".