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Record W6931697987 · doi:10.5284/1111072

12 Trinity Road, Hertford Heath, Herts.: Archaeological Monitoring Report

2020· article· en· W6931697987 on OpenAlexaff

Bibliographic record

VenueArchaeology Data Service · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsArchaeological evidenceExcavationHistoric siteEstateTrench

Abstract

fetched live from OpenAlex

In response to a planning condition on development at 12 Trinity Road, Hertford Heath, Hertfordshire, the Heritage Network was commissioned by the clients to undertake a programme of archaeological monitoring on the development groundworks. The site is located within Area of Archaeological Significance no.242, as identified in the District Local Plan. This includes a late pre-Roman Iron Age cemetery that remained in use until at least the end of the 1st century AD, and was focused around an Iron Age 'Chieftain's Burial'. The grave and its immediate vicinity also form a Scheduled Monument, which extends into the garden of the present site. The present works comprised the monitoring of an L-shaped footings trench for a new extension. No archaeological cut features, deposits or finds were encountered in the course of the project. The lack of archaeological evidence would suggest that the site falls just outside the area of the cemetery. However it is also possible that the ground level across the site was reduced when the Trinity Road estate was built in the 1960s or early 70s, which may have removed any potential archaeological features. No archaeological features, deposits or finds were encountered in the course of the project. The lack of archaeological evidence could suggest that the site falls just outside the area of the late pre-Roman Iron Age cemetery or that previous ground level reduction may have removed any potential archaeological features.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.208
Threshold uncertainty score0.414

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0910.017

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 head0.076
GPT teacher head0.293
Teacher spread0.217 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2020
Admission routes1
Has abstractyes

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