One of the Countries That Turkey Models: Finland Secondary Education Social Studies Curriculum
Bibliographic record
Abstract
Teaching of social studies has basis of education dynamism that governments maintain to raise qualified and efficient citizens. That’s why; being examined programs in question has importance for the global citizen concept which comes up with globalization. Therefore, how to be raised efficient citizens who build both governments’ and world’s future is going to be determined. Turkey has chosen some countries as guides in education to keep up with globalization world standards. One of these countries is Finland. “Core Program” which is in force in the country is has been taken as basis in this study in which secondary education Social Studies curriculum occupying an important place in Finland education system is reviewed. Geographical and historical features and education system of the country are described (have been depicted shortly so as to ensure to be understood better the program in question. When we look at Finland education system in general, it can be said the tradition of sublimating the common objectives in Finland culture slows down the reflection of liability to bring individuality forward on implementation. School programs aims to equip the youth with knowledge and skills they will need in the social life naturally as well as aiming to transmit the basic values of Finland culture to the students. Equality of entire community is taken into consideration while doing this. Concerning available general program, it has been confirmed that general goals of “secondary education Social Studies curriculum” are to equip learners with talent to analyze current events efficiently and critically and prepare them to join social activities.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".