Nyuddannede læreres muligheder for at finde fodfæste - Set i perspektiv af kompetence- og karriereudvikling: Vejledning til en livslang professional karriere som folkeskolelærer
Bibliographic record
Abstract
Forskningsspørgsmålene er: 1.Hvordan og i hvilket omfang støttes nyuddannede lærere i Danmark de første tre år i deres professionelle virke? 2.Hvad ved vi fra national og international forskning om betydningen af lærerstartsordninger? Herunder hvilke muligheder der er for at finde fodfæste og for kompetence- og karriereudvikling? 3.Hvordan praktiserer andre lande som Norge, New Zealand, Holland, Finland, Ontario, Japan og Schweiz lærerstartsordninger? 4. a) Hvordan kan en lærerstartsordning designes og implementeres i en dansk kontekst? og b) hvor ligger mulighederne og udfordringerne for skolen og de nye lærere?
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.
How this classification was reachedexpand
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.016 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".