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Record W7106445924 · doi:10.5284/1138162

Archaeological Desk-Based Assessment, Carlton Road, Barnsley

2009· article· en· W7106445924 on OpenAlexaboutno aff

Bibliographic record

VenueArchaeology Data Service · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsExcavationRedevelopmentChapelQuarter (Canadian coin)EstateDocumentary evidence

Abstract

fetched live from OpenAlex

In September 2009, ARCUS were commissioned by G. L. Hearn Ltd to produce an archaeological desk-based assessment of land off Carlton Road, Barnsley, South Yorkshire (centred on SE 361 091). The assessment was required in relation to the proposed redevelopment of a schools site and comprised cartographic and documentary research, along with a site visit. The proposal area appears to have been in agricultural use during the medieval period, when it may have formed part of the lands attached to St. Helens Chapel, a resting or retiring house associated with Monk Bretton Priory. While pre-medieval activity in the immediate vicinity of the proposal area cannot be demonstrated, it is possible that St. Helens Chapel succeeded an earlier site associated with the British (Celtic) goddess, Elen. The site formed part of the Wortley estate from the 16 th century and remained in agricultural use until the development of St. Michaels, St, Helens and St. Dominics schools during the third quarter of the 20 th century. With the exception of a single building shown in 1966, there is no evidence of development within the site prior to the construction of the schools. Although previously unknown archaeological deposits cannot be ruled out, the current evidence suggests that the potential for such remains is generally low. The majority of the proposed works will take place within previously developed areas and any previously unknown archaeological deposits will only be impacted if excavations extend to a sufÏcient depth.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.706
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.361
Teacher spread0.284 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2009
Admission routes1
Has abstractyes

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