Strukturierte Berufseinführung als Scharnier zwischen Aus- und Weiterbildung
Bibliographic record
Abstract
Dieser Beitrag thematisiert die strukturierte Berufseinführung in der Schweiz als Scharnier zwischen Aus- und Weiterbildung und ihre Bedeutung für die Professionalisierung von Lehrpersonen. Eine Bestandsaufnahme kantonaler Modelle zur Berufseinführung in der Schweiz bildet die Grundlage für die Analyse. Es wird aufgezeigt, dass neue Modelle der Berufseinführung entwickelt werden müssen, die bisher nicht berücksichtigte Bedarfe aufnehmen und eine engere Verknüpfung von Aus- und Weiterbildung gewährleisten. Abschliessend werden Empfehlungen formuliert, um Lehrpersonen in dieser zentralen Phase besser zu begleiten und ihre langfristige professionelle Entwicklung zu fördern. English version Structured career induction as a hinge between initial and continuing education This article focuses on structured career induction as a hinge between initial and continuing education and its significance for the professionalisation of teachers. An inventory of cantonal models for career induction in Switzerland forms the basis for the analysis. The results show that existing career induction models need to be adapted in order to take needs into account that have not yet been considered and to ensure a closer link between initial and continuing education.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".