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Record W6913055849 · doi:10.5284/1133829

Land to the rear of 234 High Street, Arlesey, Heritage Statement

2017· article· en· W6913055849 on OpenAlexaff

Bibliographic record

VenueArchaeology Data Service · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsRedevelopmentHistoric siteWork (physics)Boundary (topology)Archaeological evidenceDigital surfaceBrick

Abstract

fetched live from OpenAlex

As part of a programme of exploratory archaeological work undertaken in advance of a planning application for residential development on land at 234 High Street, Arlesey, Bedfordshire, the Heritage Network was commissioned by AML Property Investments Ltd. to undertake a programme of archaeological evaluation by trial trenching. The methodology for the work was agreed with the Archaeology Team (AT) at Central Bedfordshire County Council (CBC). The site is located on the eastern side of the High Street, in the rear garden of no.234, centred on NGR TL 19320 36748. The site lies at the northern end of the known medieval settlement. No significant archaeological features were encountered in the trench. A cobbled surface was encountered in the north-eastern corner of the trench. The suggested extent of the surface, based on the evidence in the trench sections, was 4.9m in length and 1.6m in width. Its southern edge appears to have run parallel to the northern boundary to the site. Ordnance Survey mapping shows adjoining outbuildings located on the boundary between the present site and no.238 to the north in 1901. They are not shown on earlier mapping and it is likely that this feature, which is likely to have been constructed in the late 1890s, relates to these structures. Finds observed within this layer included brick fragments, coal and sherds of transfer printed china, all of late 19th and early 20th century date. These artefacts were not collected.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0030.004
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.074
GPT teacher head0.342
Teacher spread0.268 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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