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Record W6969361330 · doi:10.5284/1099594

Former Roecroft Lower School

2014· article· en· W6969361330 on OpenAlexaff

Bibliographic record

VenueArchaeology Data Service · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsNatural (archaeology)Archaeological evidenceWork (physics)Natural heritageCultural heritageExtension (predicate logic)

Abstract

fetched live from OpenAlex

In order to investigate the archaeological potential of a proposed new extension and refurbishment of the Former Roecroft Lower School, Stotfold, Bedfordshire, the Heritage Network was commissioned by the developer to undertake a programme of targeted trial trenching. The development entailed the repositioning of existing modular buildings and the extension and refurbishment of existing permanent buildings. All intrusive groundworks associated with the development were completed before the present programme of archaeological work was commissioned. The investigation was intended to clarify the archaeological potential of the site and assess the likelihood that archaeological remains of significance were damaged or destroyed by the groundworks programme. Three trial trenches were excavated across areas chosen by the CBC and were located to the rear of the school buildings. They revealed a layer of modern overburden, above subsoil, which overlay the undisturbed natural substrate. Four cut features were encountered in two of the trenches. Of these, two represented field drainage gullies of medieval and late post-medieval date, one appeared to be a large posthole and the third the remains of a possible hedgerow. On this basis, the risks that the proposed development might disturb archaeological remains of any significance may be considered to be Moderate for the medieval and post-medieval periods and Low for all other periods.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.764
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.043
GPT teacher head0.309
Teacher spread0.266 · 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; both teacher heads agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

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