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Record W6908099490 · doi:10.25446/oxford.16978237

Kingston Down Grave 282

2021· other· en· W6908099490 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Oxford · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSkullSkeleton (computer programming)Sound (geography)Quarter (Canadian coin)

Abstract

fetched live from OpenAlex

No tumulus; the grave was full three feet deep. Within about six inches of the skeleton, about the middle of the grave, was the skull of some animal about the size of an half-grown rabbit [M 6258], but of a ravenous and fierce nature, as may be guessed from its teeth, four of which, namely, two above and two below, which are placed in the fore part of the mouth, are very long, hooked, and sharp; not unlike those of a cat; they are still very sound (as is also the skull itself), and very white. The sockets of the eyes are remarkably small, like those of a polecat or ferret. The distance between the eyes and the hind part of the skull is remarkably great. No other of this animal's bones were found, except some of the vertebrae of the back. I take it to have been of the polecat kind. At the same depth, and just by, were near a quarter of a pint of bones of some other very small animals, seemingly of birds, moles, or mice. They lay all in a lump together; no skulls were to be found. Might not this larger animal have carried them in? or might he not have voided them with his excrements?[1] At the bottom of this grave lay the skeleton of a grown person, the bones of which were very perfect. No appearance of a coffin, Nothing.[1]Mr. Bateman, in the course of researches in upwards of three hundred barrows, chiefly in Derbyshire, has found about a dozen skulls of polecats. The presence of the bones of rats and mice in contiguity with such skulls may be explained as Mr.Faussett suggests. In the Derbyshire barrows, however, the bones of rats are sometimes found in enormous quantities; indicating, apparently, hundreds, and in some cases, thousands of rats. Mr. Bateman considers them the remains of countless generations of these animals, which have lodged and hybernated in the mounds for a long period.- C.R.S.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.034
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0340.001

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 head0.014
GPT teacher head0.204
Teacher spread0.190 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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