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Record W7092497460 · doi:10.5281/zenodo.17390924

War roudoù an dorneganed – Parallel Corpus (Breton Vannetais / French) – KorpusGW_FINAL_DATA v1.0

2025· dataset· br· W7092497460 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typedataset
Languagebr
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsCanadian Linguistic Association
Fundersnot available
KeywordsSentenceSection (typography)MetadataFront (military)Corpus linguisticsObject (grammar)

Abstract

fetched live from OpenAlex

This dataset contains the parallel corpus War roudoù an dorneganed (Breton Vannetais / French), aligned sentence by sentence and encoded in UTF-8.It is accompanied by a README file describing the structure and metadata format, and by the front cover of the original printed edition (Skoliuz, 2024) for reference. This work was developed within the Section Langue et Linguistique of the Institut Culturel de Bretagne (ICB).

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.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesOpen science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.150
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0070.001
Scholarly communication0.0040.001
Open science0.0220.019
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.017

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 head0.252
Teacher spread0.215 · 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