O cotidiano das interações humano-lixo no assentamento Boa Esperança-lagoa da Manga em Aracatiaçu, Sobral-Ceará
Bibliographic record
Abstract
This dissertation had as main objective to reveal the daily life of human interactions trash in the settlement Boa Esperança - Lagoa da Manga, in order to understand the historical, emotional, social, cultural and training that are embedded in the daily practices of care that settlers lay with the public space and "trash." For this, we opted for a qualitative research, inspired by ethnography, that by observing the spot, listening to the other, describing the habits and customs and at the same time, the interpretation of the multiple aspects involved in practices, three discourse markers of place, with the trash home. Came to a view that the settlers expressed a feeling of intrinsic loveliness by the place where he lives and the people with whom they live, as revealed through the enhancement of historic struggles and achievements of its people, as well as the feeling of belonging and umbilicus buried the land. Also, consider just dirt (feces and uneaten food) as garbage, unlike the concept of junk to the academic realm. The feces and food scraps are reused, respectively, for compost earth food supplementation and domestic animals. This is the representational matrix that organizes socio-cultural influences and the daily practices of the settlers as the actual garbage produced, even the junk such as sacks and bags, paper, bottles etc. not servive at the time, or are put in the pantry, or reused in daily activities of the field, which shows a management junk in your own home, the woman is the manager of it and responsible for the cleanliness of public spaces through the practice of sweeping that is passed from mothers to daughters and starts at home, going to the yard and extends to public spaces, becoming a space-socio-cultural affective informal education. However, this area of teaching cultural traditions of care and environmental cleanup against the "garbage" is being threatened because women are moving away gradually sweeping activities, considering that the time available for this practice is being reduced and replaced by employment in the cooperative brown, newly installed in the settlement. Therefore, it is necessary at this time a do-teaching environment that promotes the knowledge and practices historical, socio-cultural and training of the settlers against the "garbage" lined on affection for the place, in order to mitigate the lifestyles subalternizantes seeking to make the rural man a mere player colonializantes practices, typical of the capitalist system.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".