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Record W6962264452 · doi:10.17026/ar/4mbdit

Romeinse vindplaats ’t Hain onderzocht

2024· dataset· nl· W6962264452 on OpenAlexaff

Bibliographic record

VenueDANS Data Station Archaeology · 2024
Typedataset
Languagenl
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsKelowna General Hospital
Fundersnot available
KeywordsStatistical analysisAlleyFist

Abstract

fetched live from OpenAlex

In september heeft Archeologenbureau Argo een belangrijke opgraving uitgevoerd op de vindplaats Krommenie 14, ofwel 't Hain, in opdracht van de gemeente Zaanstad. Deze site, ontdekt in de jaren zestig door de AWN Zaanstreek tijdens slootwerkzaamheden, bevatte een trapeziumvormige houten palissade uit de eerste eeuw na Christus met binnenin structuren zoals een mogelijke wachttoren. De opgraving onthulde diverse objecten, waaronder inheems en Romeins aardewerk, slingerkogels en munten, suggererend dat de locatie strategisch via waterwegen bereikbaar was. Na vijftig jaar speculatie hoopt men nu antwoorden te vinden op vragen over de functie van de site en of deze door inheemsen of Romeinen werd gebouwd. De opgraving trok publieke belangstelling tijdens een open dag, waarbij vondsten uit zowel recente als eerdere opgravingen werden getoond. Dit recente onderzoek kan bevestigen dat 't Hain deel uitmaakte van een Romeinse militaire inrichting, mogelijk gerelateerd aan het fort bij Velsen. De resultaten zullen gedocumenteerd worden in een rapport dat binnen twee jaar gepubliceerd wordt.

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)0.001
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.092
Threshold uncertainty score0.306

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0920.021

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 head0.065
GPT teacher head0.308
Teacher spread0.243 · 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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