Comparative analysis of sex education in different countries of the world and in Georgia
Bibliographic record
Abstract
In many national curricula, particularly in European contexts, sex education is recognized as an integral educational component aimed at raising awareness, mitigating health-related risks, and upholding fundamental human rights. Comprehensive sexuality education adopts a holistic approach, incorporating aspects of gender, emotional and mental health, relationships, consent, and personal well-being, rather than focusing solely on reproductive health. This study examines the key features of sex education in Norway, Spain, Canada, and Singapore, and compares them with the Georgian context. In countries such as Norway and Singapore, sex education is a compulsory component of the school curriculum, supported by specialized teacher training programs. In contrast, Georgia has yet to adopt a similar approach, largely due to prevailing conservative attitudes within society that continue to influence educational policy. This study identified several key challenges, including the limited presence of sex education topics within school curricula, inadequate teacher training, and societal reluctance to engage in open discussions on the subject. Considering international best practices, the study concludes that Georgia must adopt a more comprehensive and inclusive approach to sexuality education in order to address issues such as early marriage, teenage pregnancy, and sexual violence. The paper emphasizes the necessity of policy reform, teacher training, and community engagement to foster the development of an informed and healthy society.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".