Disposable Face-Mask Waste Management and Assessment Through Willingness to Pay and SWOT Framework in Post COVID-19 Pandemic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Disposable masks are widely used during the pandemic and post-pandemic as selfprotection from COVID-19.Due to this, a mask waste disposal problem has happened throughout the world, impacting the environment through pollution.Disposable waste management using the Willingness to Pay (WTP) system can be a mitigation effort.The study was conducted using an online cross-sectional questionnaire which was analyzed using the Spearman method and the SPSS cross tab descriptive analysis technique.The results of the study found that there is a positive correlation in the community's approval for the management of mask waste with the WTP response, which had a negative impact on the environment.However, it is negatively correlated with the amount of budget issued by the community with WTP.A SWOT (Strength, Weakness, Opportunity, Threat) study was proposed to evaluate the proposed WTP of the waste management system, finding that it is important to educate the public about the negative impacts.Therefore, WTP can be applied in the management of mask waste because it has advantages in waste management on a small to large scale.
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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 | 0.001 |
| 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 it