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Record W6944124251 · doi:10.17026/ar/i9ccjj

Kasteelruïne Valkenburg

2024· dataset· nl· W6944124251 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDANS Data Station Archaeology · 2024
Typedataset
Languagenl
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsKelowna General Hospital
Fundersnot available
KeywordsQuantitative methodologyDoctoral dissertationQualitative analysis

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.116
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.006
Scholarly communication0.0000.001
Open science0.0040.011
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0610.097

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.

Opus teacher head0.046
GPT teacher head0.287
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it