Bureaucratisation of the Teaching Profession in Decentralised Vocational Education—The Case of Slovenia, Europe
Bibliographic record
Abstract
Since 2001, Slovenian vocational education has undergone major changes at the curricular and financing levels, particularly moving towards competence-based and open curricula and the decentralisation of responsibilities. Both tendencies have changed the role of the teacher, who has become a team worker with many new responsibilities in planning, assessment and evaluation of the pedagogical process. Reform measures are regularly evaluated, and research findings are an important source of information for reforms. In our secondary analysis of selected evaluations, we attempt to prove our thesis that the teacher’s autonomy has, despite this decentralisation, not increased in terms of better conditions for the students’ development. Instead, it has resulted in teachers becoming exhausted by paperwork, the purpose of which they do not realise due to poor training and difficult working conditions. The article proves that the potential positive outcomes of the reforms can be lost if reform instruments are abused for political and/or economic purposes, if the swiftness and content of the reforms are dictated by the European (financial) policies and particularistic political interests, and/or if the school is reformed according to the rules of the market.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".