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Record W6962562044 · doi:10.17026/ar/nmcgat

Circumvallatie-linie uit 1602 nog zichtbaar in het landschap

2024· dataset· nl· W6962562044 on OpenAlexaff

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2024
Typedataset
Languagenl
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsKelowna General Hospital
Fundersnot available
KeywordsContext (archaeology)Order (exchange)Sign (mathematics)

Abstract

fetched live from OpenAlex

Tijdens de zomer van 2020 ontdekte de auteur een verhoogd vierkant in de uiterwaarden van de Maas, een restant van een redoute uit de circumvallatielinie van het beleg van Grave in 1602 door Maurits van Nassau. Grave, een van de meest belegerde steden van Nederland, werd toen omringd door een linie met schansen en redoutes. Met behulp van een kaart van Baptista, het dagboek van Anthony Duyck, veldonderzoek, AHN3 en satellietbeelden is de linie in kaart gebracht. Van de 27 structuren zijn 12 redoutes en twee schansen teruggevonden. De bevindingen zijn samengevat in het boek "Reconstructie van een linie".

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.114
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.006
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0370.027

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.

Opus teacher head0.027
GPT teacher head0.317
Teacher spread0.291 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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