Integration Processes in Education: Classification of Integration Types
Bibliographic record
Abstract
The relevance of the stated problem is due to the fact that integration is a system formation that combines procedural and resulting components contributing to the appearance of a system’s new integrative quality, which cannot be reduced to the sum of the qualities of its autonomous elements. The paper presents a theoretical justification for the classification of types of integration: by quality characteristics of an integrated system (unproductive integration, quasi-integration, preproductive integration, productive integration); by presence of necessary components of an integrated system (full integration, partial integration, disintegration); by temporal characteristics of an integrated system (episodic integration, periodic integration, systematic integration); by types of integrating subjects (sectoral integration, inter-sectoral integration, allied integration). The article submissions represent a theoretical value to researchers concerned with integration issues, and also have practical significance for subjects of the integrated system of “education-production” in order to prepare specialists meeting the requirements of modern production.
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.012 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.011 | 0.017 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".