Bebyggelse og landbrug i overgangsperioden mellem yngre stenalder og ældre bronzealder
Bibliographic record
Abstract
Fra midten af senneolitikum og frem til slutningen af ældre bronzealder (ca. 2000–1100 f.Kr.) øges bebyggelsestætheden i Sydjylland, hvilket sker samtidigt med en intensiveringi agerbruget. I tidens huse indes en overlod af agerbrugsrelaterede levn,der imidlertid overskygger indtrykket af husdyrholdet, som optræder langt meresparsomt på bopladserne. Arkæobotaniske analyser har påvist overraskende lighederi indretningen af de sene toskibede og tidlige treskibede langhuse. Dette indbyder tilen nytolkning af den omdiskuterede ændring i arkitekturen, der får sit gennembrudomkring 1500 f.Kr. Indførelsen af den treskibede byggeskik skal ses som et vigtigt ledi monumentaliseringsprocessen, der kulminerer i ældre bronzealder.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".