MétaCan
Menu
Back to cohort
Record W4375934629 · doi:10.36253/979-12-215-0061-5.14

Traduire en français le lexique du patrimoine artistique de la ville de Bologne : le sous-corpus comparable BER du projet LBC

2023· book-chapter· en· W4375934629 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFirenze University Press eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
Topiclinguistics and terminology studies
Canadian institutionsnot available
FundersUniversité de MontréalUniversity of Cambridge
KeywordsLexiconTerminologyCorpus linguisticsLinguisticsText corpusHumanitiesComputer scienceArtNatural language processingPhilosophy

Abstract

fetched live from OpenAlex

This chapter presents a new tun in the research project Multilingual Cultural Heritage Lexicon that consists in extending the LBC French corpus through a sub-corpus on Bologna and the Emilia-Romagna region (BER). After presenting the two projects connected with the LBC corpus (UniCittà 2019-2021 and UniVOCittà – ongoing), Zotti presents the BER sub-corpus from a quantitative and qualitative point of view reflecting on its role ans its complementarity for the description of the artistic terminology in the LBC comparable monolingual corpus. Zotti concludes by showcasing the applications and results of the corpus-driven approach and its potential for inferring linguistic knowledge when it comes to (diastratic and diatopic) synonymy, suggesting new strategies for the translation of cultural-specific items.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.954
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.198
Teacher spread0.174 · 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