Bibliographic record
Abstract
The Albanian education system, when it comes to health education, still has a long way to go. Currently, health education is not integrated as a real subject in the school curriculum, but is treated in a fragmented manner within other subjects such as biology or physical education. This limited approach means that students do not acquire in-depth and comprehensive knowledge about health issues, including hygiene, mental health or infectious diseases. Without clear planning and dedicated resources, many children face a lack of information that could help them improve their lifestyles. On the other hand, Western countries such as the United States, Canada and some Nordic countries have made significant progress in this regard. These countries have integrated health education as an essential part of the school curriculum, including special subjects that cover specific topics such as physical, sexual, and mental health. For example, in Finland, health education is compulsory and includes a comprehensive approach to producing informed individuals who are capable of making informed decisions regarding their health. These countries also have programs to train teachers who have specialized training in health education. In other countries, such as those in East Asia, such as Japan and Korea, health education is also a priority, but it is more about discipline and a general culture of health and hygiene.Japan has programs that promote healthy lifestyles from a young age, including education about nutrition, physical activity, and disease prevention. In comparison, the Albanian education system should follow these models and provide a more structured health education that not only educates children in the present but also prepares them for the future to become healthy and aware citizens. Received: 2 August 2024 / Accepted: 10 November 2024 / Published: 3 December 2024
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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 | 0.021 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.015 | 0.014 |
| Scholarly communication | 0.014 | 0.020 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.017 | 0.022 |
| Insufficient payload (model declined to judge) | 0.048 | 0.006 |
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".