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Record W6912732455 · doi:10.5284/1116364

Cottlesbrooke Estate, Northamptonshire Geoarchaeological Survey and Archaeological Trial Pit Survey and Paleoenvironmental Assessment.

2022· article· en· W6912732455 on OpenAlexaboutno aff

Bibliographic record

VenueArchaeology Data Service · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeoarchaeologyTransectPalaeochannelGeophysical surveyGeological survey

Abstract

fetched live from OpenAlex

York Archaeology, Nottingham (formally Trent and Peak Archaeology) were commissioned by the Environment Agency on behalf of the Cottesbrook Estate to undertake a geoarchaeological survey and an archaeological test pit survey as part of the groundworks associated with a Countryside Stewardship scheme centring on NGR SP 73610 72104 (Area 1) and SP 73663 71348 (Area 2) Despite the proximity to a series of cropmarks and the presence of palaeochannels within the Brampton Branch of the River Nene, no archaeological features or waterlogged deposits were identified within any of the pits, possibly indicating a low instance of human activity within this particular area within a historically worked and cultivated landscape. The hand auger survey carried out a total of 51 holes across both areas Area 1 and 2, which recorded very limited preservation of organic material. Deposits in Area 1 to the north were found to be predominantly dry, with a single instance of thinly developed waterlogged organic material recovered from the palaeochannel in Transect 4 (core 4b). Area 2 recorded infrequent instances of waterlogged minerogenic sediment, demonstrating, an albeit low, possibility of discovering organic material preservation in other unsurveyed areas across the site. As a result, the archaeological and geoarchaeological potential of the study area is considered 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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0010.007
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.064
GPT teacher head0.267
Teacher spread0.204 · 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
Published2022
Admission routes1
Has abstractyes

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