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Record W7134825463 · doi:10.5284/1139831

Land North-East of King George V Playing Fields Cuffley Report and Archive

2015· article· en· W7134825463 on OpenAlexaff
G Jones

Bibliographic record

VenueOpen MIND · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsGeorge (robot)Period (music)Archaeological evidenceField (mathematics)Work (physics)Order (exchange)Interpretation (philosophy)

Abstract

fetched live from OpenAlex

In order to characterise the archaeological potential of land to the northeast of George V playing fields, Northaw Road East, Cuffley, Hertfordshire, the Heritage Network was commissioned by the owners to undertake an archaeological field evaluation following the results of a desk-based assessment and a geophysical survey. This work was in advance of a planning application to the local planning authority for a housing development. Twenty three trenches were excavated across the site, revealing only two late post-medieval hedgerow field boundaries located in four of the trenches, which correspond with the results of a previous geophysical survey undertaken and the results of historical mapping. No other archaeological finds, features or deposits were present in any of the trial trenches. The site appears to have been under cultivation for most of its history which would explain the lack of archaeological density. Additionally, the effects of ploughing may have destroyed evidence of any earlier archaeological features on the site. On the basis of the results of the evaluation, the risk that the proposed development might disturb significant archaeological remains may be considered to be Low for all periods prior to the post-medieval period and moderate to High for remains of the post-medieval and modern date. However, the importance of any such features should they be encountered may be regarded as 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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.314

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0320.004

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 head0.088
GPT teacher head0.330
Teacher spread0.242 · 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 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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Same venueOpen MINDSame topicHistorical and Cultural Archaeology StudiesFrench-language works237,207