MétaCan
Menu
Back to cohort
Record W4393888061 · doi:10.5281/zenodo.1490859

Christ Imperator (Ruthwell Cross Detail)

2018· dataset· en· W4393888061 on OpenAlexaff
Gurpreet Singh, Daniel Paul O’Donnell, The Visionary Cross Project

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typedataset
Languageen
FieldArts and Humanities
TopicHistorical and Religious Studies of Rome
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsHistoryGeologyPsychology

Abstract

fetched live from OpenAlex

This is 3D model of the Christ Imperator panel of the Ruthwell Cross developed as part of the ongoing Visionary Cross project. Image of 3D models (Back) can be located at https://doi.org/10.5281/zenodo.1233647 . Complete ultra High-Resolution (112M poly count) 3D model of the Ruthwell Cross can be located at https://doi.org/10.5281/zenodo.1233639 and a High-Resolution (02M poly count) model can be found at https://doi.org/10.5281/zenodo.1233643 For complete set of material please visit The Visionary Cross community at https://zenodo.org/communities/the_visionary_cross

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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.110
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0030.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1100.179

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 head0.031
GPT teacher head0.239
Teacher spread0.208 · 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
GenreDataset

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

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicHistorical and Religious Studies of RomeFrench-language works237,207