Biologi og idræt – et funktionelt kompetenceudviklende tværfagligt samarbejde?
Bibliographic record
Abstract
I naturfagssamarbejdet om fælles faglige fokusområder er der biologifaglige indholdsområder der er vanskelige at integrere i samarbejdet med de to andre naturfag i overbygningen. I nærværende artikel beskrives hvordan disse områder i tværfagligt samarbejde med idræt kan dækkes ind og være med til at udvikle både elevernes naturfaglige og idrætsfaglige kompetencer. Igennem to projektperioder arbejdede elever fra fire folkeskoler tværfagligt og undersøgelsesbaseret med fællesfaglige problemstillinger for biologi og idræt. Ved hjælp af observationer og interviews blev det belyst hvilke fordele der var i forhold til elevernes kompetenceudvikling i de to fag, og ligeledes hvilke udfordringer der er ved at arbejde undersøgelsesbaseret og tværfagligt i de to fag.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.027 |
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; both teacher heads agree on what is shown here.
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".