Conocimientos sobre salud sexual y reproductiva en los adolescentes de la etnia Shuar del barrio Tuntiak, cantón Centinela del Cóndor. año 2015
Bibliographic record
Abstract
This research work was to determine the knowledge of sexual and reproductive health among adolescents in the Shuar ethnic group Tuntiak, Canton Centinela del Condor quarter 2015. The research design was observational, prospective, transversal, descriptive, bibliographical and field. As a technical survey of the 35 teenagers Shuar used. The results allowed to obtain the following demographic characteristics of the study population, the 62.86% are women, are at a level of incomplete secondary education with 80% and an age range of 13-15 years 45.71%. Knowledge about sexual and reproductive health was determined that; 62.85% do not know the aspects of reproductive health, 74.29% do not know the sexual and reproductive rights, 68.57% also ignore the rights for people with different sexual orientation, 45.71% know the definition sex, 65.71% know that it is gender, 37.14% believed that physical changes begin at age 12, with 36.55% know the voice change in the man and the 33.33% presence of menstruation, 60% are unaware of sexually transmitted infections, the 59.09% recognize that they acquire by sex, 29.50% know HIV, 38.70% stated that the consequence of not treating a sexually transmitted infection is death, 68.57% do not know how to protect themselves from sexually transmitted infections, 51.43% if they know that family planning is the 51.43% if they know contraceptive methods and 31.57 % know the condom. As a contribution to an educational program for adolescents was developed. Concluding that half the population if they have knowledge of sexual and reproductive health
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".