Directrices para la gestión de residuos sólidos em ambientes de alta montaña
Bibliographic record
Abstract
This study aims to analyze issues relating to the solid waste management in high mountain regions, from its generation, which is driven by the increase of tourism in these regions, to final disposal. This process of unbridled tourism is leaving a huge negative environmental impact on glaciers and in the headwaters of watersheds that supply regions located at the foot of the mountain ranges. An analysis of more sustainable patterns of tourism processes, guiding the analysis to the guidelines and alternatives for Integrated Solid Waste Management. The hypothesis of the study is based on a diagnosis of the current situation of solid waste generation in the mountains, a statistical analysis of the data, the improvement of the processes involved, it is possible to formulate guidelines for waste management, incorporating new technologies in waste management and the incorporation of social technologies on the adequacy of the proposed guidelines, to stop waste a problem. Were made early expeditions into the mountains to the characterization of the waste generated by expeditions in the Peruvian highlands and in the Canadian Rockies, was determined mountain tourism as the most powerful category, then statistical tests were performed for both primary processes, from measures of central tendency was found statistical inference data for a larger universe of data and with the same characteristics, then performed the analysis capacity of the two processes and the data was compared statistically and measures central tendency. From these data we proceeded to make the identification of variables that affect the generation of waste in the Peruvian process and proposes an improvement to the implementation of quality plans. Again expeditions were made following the proposed improvements to the process, new data were obtained from waste generation, became a statistical comparison of the data of ancient Peruvian process and details of the new Peruvian process. Were obtained from the final results of which were drawn the conclusions and recommendations of this study.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".