Bibliographic record
Abstract
De AWN-afdeling 23 (Archeologische Vereniging Kempen en Peelland) richt zich in haar project op de Kasteelruïne Valkenburg in Limburg. Dit project, voortbouwend op werk van vooraanstaande archeologen zoals Jaap Renaud en Hans Janssen, herziet de resultaten van pre-Malta opgravingen. De ruïne, met een rijke geschiedenis die teruggaat tot 1115, heeft meerdere fases van constructie en vernietiging doorstaan, waaronder een definitieve sloop in 1672. Het huidige project omvat het verzamelen van verspreid materiaal uit verschillende Nederlandse steden, inclusief digitale samenstelling van belangrijke documenten zoals een cruciale overzichtstekening. Dit werk legt de basis voor toekomstige analyse en interpretatie. De collectie bestaat uit 25.000 objecten, die systematisch worden gedetermineerd en gedateerd in Den Bosch, wat nieuwe inzichten in de bouwgeschiedenis van de burcht zal opleveren. Dit omvangrijke project, vergeleken met een 'Odyssee-project', belooft een diepgaand begrip van de site en haar historie.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.273 | 0.093 |
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".