Structural-Functional Model for Corporate Training of Specialists in Carrying Out Mentoring
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
Embeddedness of mentoring in the professional activity demands from company specialists not only a high level of their psycho-pedagogical formation, but also others which include common cultural and professional competencies for effective corporate training of interns and young employees. The purpose of the article is to develop a structural-functional model of corporate training of technical specialists in mentoring in the conditions of modern production. The leading method is modeling, allowing consideration of this issue as task-oriented and organized process for improving the professional, common cultural competences, and for formation of special competences of company specialists, that they will need to effectively carry out the mentoring activities. The structural-functional model of corporate training of technical specialists in carrying out mentoring in modern production includes objective, methodological, content-related, organizational and procedural and efficiency components. The model aims at integrating professional production and psycho-pedagogical training of teachers, in which the improvement of their professional and interprofessional competencies for conscious and responsible management of their changes in professional development, as well as for the solution of psycho-educational and organizational-methodological problems of interns’ corporate training.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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