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Record W6950246383 · doi:10.5284/1099725

Heath Sports Club, Baldock Road, Royston, Hertfordshire: Archaeological Evaluation Report

2010· article· en· W6950246383 on OpenAlexaff

Bibliographic record

VenueArchaeology Data Service · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsDitchDemolitionExcavationHistoric siteFeature (linguistics)Square (algebra)RavineSettlement (finance)

Abstract

fetched live from OpenAlex

In order to characterise the archaeological potential of the site of a proposed extended tennis court area at Heath Sports Club, Baldock Road, Royston, Hertfordshire, the Heritage Network was commissioned by Royston Tennis Club to undertake an archaeological field evaluation. The site lies on the western edge of Royston, on the south side of Baldock Road and on the northern edge of Therfield Heath. Ten HER entries are located within a 500m radius of the site centre. These range in date from the Neolithic to the modern period. Despite the defined archaeological potential of the site, which lies on the northern edge of Therfield Heath, an area known to have attracted activity from the Neolithic period onwards, the four evaluation trenches revealed only slight evidence for activity pre-dating the modern period. The earliest feature on the site comprised an undated ditch on the north side of the existing tennis courts. This had been truncated by later ploughing. Two modern features were also recorded, a large hollow, filled with demolition debris from the World War 2 prisoner of war camp and a linear feature of unknown purpose. Monitoring of the preliminary groundworks noted further modern demolition debris, also assumed to be from the PoW camp.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.819

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.002

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 head0.068
GPT teacher head0.355
Teacher spread0.287 · 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
Published2010
Admission routes1
Has abstractyes

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