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Record W4393885668 · doi:10.5281/zenodo.10290063

19th Cenutry Butter Mould and Stamp

2018· dataset· en· W4393885668 on OpenAlexaboutno aff
technoscience d

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typedataset
Languageen
FieldSocial Sciences
TopicNational Identity and Symbolism
Canadian institutionsnot available
Fundersnot available
KeywordsComputer graphics (images)Computer science

Abstract

fetched live from OpenAlex

A butter mould is a tool used to form butter into shapes, while a butter stamp is used to mark the butter with a design. In many instances they were combined in the same device. Butter moulds and stamps were introduced to North America by European settlers who brought the tools and techniques from their homelands. This particular mould is Canadian-made from maple wood and metal fittings. The design on the stamp consists of the letters SRL (possibly the initials of the butter maker) with stars on both sides surrounded by vertical and horizontal lines. Note: The model is meant to be viewed in a virtual environment using computer software. You can try printing it off, though we cannot guarantee the quality. To print off your own butter mould and stamp please visit ingeniumcanada.org/education/3D-butter-artifacts Our terms of use can be found [here](https://ingeniumcanada.org/ingenium/doc/content/cstmc/CSTMC%20terms%20of%20use%203D%20ENG.pdf). Source: Objaverse 1.0 / Sketchfab

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)0.001
metaresearch head score (Gemma)0.004
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 score0.066
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0660.138

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 head0.043
GPT teacher head0.297
Teacher spread0.254 · 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 topicNational Identity and SymbolismFrench-language works237,207