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Record W6931880231 · doi:10.5284/1111042

LAND SOUTH OF HARE STREET ROAD Buntingford, Hertfordshire

2013· article· en· W6931880231 on OpenAlexaff

Bibliographic record

VenueArchaeology Data Service · 2013
Typearticle
Languageen
FieldEngineering
TopicSoil, Finite Element Methods
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsGeophysical surveyWorld heritageGeoarchaeologyArchaeological evidenceLand use

Abstract

fetched live from OpenAlex

In order to investigate the archaeological potential of a proposed new development site located on land south of Hare Street Road, Buntingford, Hertfordshire, the Heritage Network was commissioned by the owners to undertake a programme of geophysical survey and targeted trial trenching. The geophysical survey revealed a number of magnetic anomalies, some of which equate to buildings and roads that are shown on the Ordnance Survey map of 1950, and a number that appeared to represent buried archaeological remains. Six trial trenches were subsequently excavated across the site, four targeted on geophysical anomalies, with others located in apparently blank areas as a control. Together, the two phases of investigation have revealed an area of modern activity in the southwest corner of the site, and, elsewhere, the presence of an undated enclosure. On the basis of the results of the fieldwork, the risk that the proposed development might disturb archaeological remains of prehistoric, Iron Age or Romano-British date may be considered to be Moderate, with the remains considered to be of local or regional significance. The risk that archaeological remains of modern date would be impacted is also considered to be High, but these remains are only considered to be of local significance. The risk of impacting archaeological remains for all other periods is considered to be Low.

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)0.001
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: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.384

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0480.004

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 head0.040
GPT teacher head0.270
Teacher spread0.230 · 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
Published2013
Admission routes1
Has abstractyes

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