Educating the External Conditions in the Educational and Cultural Environment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Educational and cultural development is strongly influenced by external conditions such as social, cultural, economic, technological, and political. So, there is a strong need to educate their effect. Some of the effects of external conditions on education and culture can be explained. a higher population puts Indonesia in an increasingly important position in the global arena. In Indonesia, this wonder happens in light of the fact that the procedure of statistic progress that created since a couple of years back was quickened by our accomplishment in diminishing fruitfulness rates, improving the nature of wellbeing and the achievement of improvement programs since the New Order time as of recently. Along these lines, Indonesia has a statistic reward which is a reward or opportunity (fateful opening) appreciated by a nation because of the huge extent of the beneficial populace (age extend 15-64 years) in the development of the populace it encounters. At that point a parameter called "reliance proportion", which is the proportion that shows the correlation among beneficial and non-gainful age gatherings. This proportion likewise shows what number of inefficient individuals whose lives must be borne by the gainful age gathering. The lower the dependency ratio of a country, the more the country is to get a demographic bonus as future development capital.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 it