Health Education for High School Students in Spain
Bibliographic record
Abstract
Education and training in schools are essential elements in the development and socialization process of children from early childhood. The fact of considering health as a complete physical, mental and social wellbeing (World Health Organization (1848), WHO), and not only as the absence of illness, is closely related to the achievement of optimal levels of promotion and improvement in the quality of life and school performance in children. This research, carried out during the 2014-2015 academic year, attempts to analyze the ideas and attitudes of Compulsory Secondary Education (12 to 16 years old; compulsory) and High School (16 to 18 years; non-compulsory) students as regards health promotion in the school context. In order to perform this analysis, an ad hoc questionnaire was developed for 2337 students from the Province of Santa Cruz de Tenerife (Spain) and 15 follow-up interviews about the students’ answers to emergency situations in the school context were also carried out. Both questionnaire and interviews revealed the existence of unhealthy habits related to the level of education, gender and health training of the students’ parents. The results show that the “Questionnaire about attitudes and knowledge as regards health in the school context” (CACOSA) has been an adequate instrument to detect both important training needs and a lack of responsiveness to emergencies in secondary education schools as regards health education.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".