Integration Processes in Education: Classification of Integration Types
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
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.
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.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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