Bibliographic record
Abstract
Med den nye formålsparagraf for Danmarks gymnasiale uddannelser har elever, forældre, lærere og ledere fået to nye ord at forholde sig til: klima og miljø. Samlet set peger den nye formålsparagraf i retningen af bæredygtighed, da klima og miljø i samspil med medmennesker, natur og samfund udgør en begrebslig femkløver, som slår de centrale betydningsstrenge an i det bæredygtighedsbegreb, som vi har lært at kende fra FNs 17 verdensmål. Men hvordan kan man som gymnasielærer i praksis orientere sin undervisning efter denne nye bæredygtighedsfemkløver, uden at eleverne får verdensmålsvæmmelse og klimakvalme? Dette spørgsmål er dunkel pædagogik ét muligt svar på. Ved at undervise ud fra den dunkle pædagogiks principper, sandsynliggør man som lærer, at ens elever ikke syner hen i kedsomhed og frustration over de voksnes løftede pegefingre, men snarere begejstres over, at der sker noget vildt, mærkværdigt og måske ligefrem chokerende i timerne med fokus på klimakrisen og bæredygtig udvikling.
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.261 | 0.113 |
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".