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Record W7165401628 · doi:10.5284/1143637

Land south of Freshwell Gardens, Saffron Walden Evaluation Report with Images

2017· article· en· W7165401628 on OpenAlexaff
G Jones

Bibliographic record

VenueArchaeology Data Service · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicLandscape and Cultural Studies
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsDitchAlluviumSiltationTrenchPotteryAlluvial plainArchaeological evidence

Abstract

fetched live from OpenAlex

In order to characterise the archaeological potential of land south of Freshwell Gardens, Saffron Walden, Essex, the Heritage Network was commissioned by the developers to undertake an archaeological field evaluation in advance of a planning application, to satisfy the requirements of the local planning authority. Two archaeological trenches were excavated across the footprints of the proposed new buildings, revealing a waterlain organic layer above the natural in both trenches, which may represent the remains of a marshy area on the edge of the town. Pottery of early medieval date was recovered from this deposit. Evidence of alluvial build up was also noted to the west of the ditch in Trench 1. A substantial ditch, interpreted as the 13th century town ditch, was encountered at the western end of Trench 1, though slightly more to the west than had been projected from other sources. Stratigraphically the ditch cut both the alluvial layers and the organic layer. The ditch itself showed evidence of silting up before being fully infilled with material in the post-medieval period and then sealed by a compact chalk consolidation layer. No evidence for additional defences was encountered during the course of the present project. A smaller linear feature was revealed in Trench 2 which also cut through the dark layer. This linear, which could not be fully investigated, was also orientated north-south, parallel to the medieval ditch.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.085
GPT teacher head0.288
Teacher spread0.203 · 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 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
Published2017
Admission routes1
Has abstractyes

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