Innsats over mange år gir resultater: positiv evaluering av undervisningsprogrammet Vivat
Bibliographic record
Abstract
Ved Hans Lander og Dag Willy Tallaksen Hittil har mer enn 12 000 personer deltatt på førstehjelpskurset, og det finnes i dag 120 aktive kursledere.Vivat utdanner, i tillegg til kursledere, også veiledere som et ledd i sin interne kvalitetssikring.Sosial-og helsedirektoratet har en stund ønsket en evaluering av Vivat.Slike evalueringer er forskningsmessig svært utfordrende.Derfor var det internt i Vivat knyttet spent forventning til hva som ville bli resultatet av dette.I 2006 ble oppdraget lagt ut på anbud.Rambøll Management fikk oppdraget, og høsten 2006 og våren 2007 ble evalueringen gjennomført.Evalueringsrapporten ble lagt fram i mars 2007.
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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 | 0.025 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".