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Record W6894308505 · doi:10.5284/1099650

Land to the South of Haddenham Airfield, Area A: Zone 6, Haddenham, Buckinghamshire

2018· article· en· W6894308505 on OpenAlexaff

Bibliographic record

VenueArchaeology Data Service · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsPrehistoryBronze AgeDitchPotteryExcavationPeriod (music)RedevelopmentRidgeFeature (linguistics)

Abstract

fetched live from OpenAlex

In response to a condition on the outline planning consent for the redevelopment of land to the south of Haddenham Airfield, Haddenham, Bucks, the Heritage Network was commissioned by the developers of Zones 2 and 6 to undertake a programme of archaeological monitoring of ground reduction across both Zones. The present groundworks lay within previously identified areas of archaeological potential. It was considered that the present investigation had the potential to contribute to a greater understanding of the origins and development of Haddenham from the prehistoric period onwards. The archaeological fieldwork in Zones 6 and 2 identified a number of linear features, together with a probable post-medieval quarry pit. The majority of the linear features appeared to represent either medieval plough furrows, related to the blocks of ridge and furrow cultivation previously recorded across the entire site. Two other linear features [A103] and [E103]) appear to represent post-medieval drainage trenches. A section excavated through a long north-west to south-east aligned linear feature in Trench 2 of Zone 6 ([E101]) produced late prehistoric pottery from the ditch fill. The feature, which was observed in Zone 2 and investigated in Trenches 6 and 7 during the evaluation phase, appears to represent a major landscape feature of late Bronze Age or Early Iron Age date. The recovered evidence indicates that the site has been in use since at least the prehistoric period.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.036
GPT teacher head0.232
Teacher spread0.196 · 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 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
Published2018
Admission routes1
Has abstractyes

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