The Role of Open Resources for Education (ORE) in Current Education System and its Contribution to Education LE RÔLE DES RESSOURCES OUVERTE POUR L'ÉDUCATION DANS LE SYSTÈME ÉDUCATIF ACTUEL ET SA CONTRIBUTION À L'ÉDUCATION
Bibliographic record
Abstract
The 21st century is an era along with a high developing speed in information science, extremely active flourish in the education thought and more complex enrichment in the education resources. The renewal and breakthrough of the education thought theory and the education resources undoubtedly will give birth to a new profile in education. The modern distance education is just a new education form produced in this situation, which is the main means for people to study all the life in the knowledge economy times, which is also the platform for constructing the knowledge internationalization. The modern distance education not only can conform to the new education idea for life-long studies in the 21st century, but also provide more advanced technical support for educational individuality along with the education popularity process.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.029 |
| Scholarly communication | 0.022 | 0.025 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".