Mulheres da Luz: uma etnografia dos usos e preservação no uso do "Crack"
Bibliographic record
Abstract
Objective: To get to know the relationships established between the practice of the so-called female low-prostitution and the use of crack in a place known as "Crack-land", in the Luz quarter, previously known as "the Garbage's Mouth", down-town São Paulo city, State of São Paulo, Brazil.Methodology: An ethnographical research was carried out along with women who attend regularly and/or engage themselves in sexual programs within this region, observing the relationships between prostitution practices and the use of crack.Results: The entering of the crack into this region causes conflicts among the female prostitutes who use the drug and those who do not, since the fees charged by the first ones for sexual programs are lower than those charged by the non-users.There is a greater exposition to health problems, in special to STD/AIDS, caused not only by the use of crack but also by the condition of extreme poverty they found themselves in and the beliefs on what they consider as being healthy.However, it was observed that the women who use crack avail themselves of some strategies concerning the control of the use of their own bodies and self-care health practices. Conclusion:It was observed that, more than addiction to a substance, the consumption of crack is an adhesion to a way of living within the streets' circuit.The existence of some forms of self-care -although incipient -related to their health and their own bodies within this life-style was also noticed.In the face of these findings, it would be worth studying a more effective way of proceeding in order to improve the quality of life of these women by means of strategies that they themselves already develop, working within a perspective of reducing the health damages associated with the consumption of crack.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".