The Concept of Continuing Education in the Context of Its Modernisation and Reform in Oil Training
Bibliographic record
Abstract
The article presents the concept of development and modernisation of the model of multi-level continuing vocational education for the oil and gas industry of the Udmurt Republic under the conditions of its reform. The relevance of continuing education research in the context of its modernisation and reform stems from the need for highly qualified staff and the need to modernise the vocational education system. The article highlights the positive effects of the network forms of educational programs using individual learning paths implemented following the Concept for the Modernisation and Development of a Multi-Level Continuing Vocational Education Model The oil and gas industry of the Udmurt Republic (Russian Federation) is undergoing educational reform. The results of the monitoring of the effectiveness of the implementation of the model of continuous vocational training for the oil and gas sector show a high level of demand, employment and the quality of education received by graduates of educational institutions of the Resource Centre for Training of Personnel for the Oil and Gas Industry of Udmurtia.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.015 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| 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".