The Peculiarities of Forming Rural School Students’ Healthy Living Skills after Shool and in Extracurricular Work by the Use of Information Innovation Technology
Bibliographic record
Abstract
If we turn to the educational views and ideas in the history of education, we see that the goals of education have an active and changeable specific historical characteristics. Specifying its state policy and ideology determine the social needs, based on natural, social and human development of objective laws. In this structure, there is a need complies with the requirements of society development level of productive forces and relations of production quality, the pace of scientific and technical progress, economic opportunity society, the level of development of educational theory and practice of educational opportunities, the level of development of educators and teachers. Analysis of different definitions lead to the conclusion that innovation is a substantial change, and the main feature of innovative change - this is a function of the change. The innovation comes at a time when educational problems can not be solved by traditional forms, creating the need for new technologies in line with new goals and objectives. Despite the fact that the traditional and innovative educational technologies have differences, it does not mean that their unity should be considered separately. They have some inherent characteristics, but objectively they have common characteristics that bind them together. In order the teacher could effectively carry out the objectives and tasks of education and training, it must be based on the characteristics of each use of educational technology and adequately understand the meaning and essence of their relationship with each other.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".