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Record W4385156596 · doi:10.11649/a.2721

Project VVV and the Issue of Revitalising Valoc’

2022· article· en· W4385156596 on OpenAlexaff
Fabio Scetti, Federica Salamino

Bibliographic record

VenueAdeptus · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsMcGill University
Fundersnot available
KeywordsDialectologyNorm (philosophy)PidginVocabularySociolinguisticsLinguisticsVariety (cybernetics)GrandparentSociologyHistoryComputer scienceEpistemologyPhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

This article provides an insight into the complex issue of producing the first edition of the dictionary of Valoc’ – a variety of Lombard spoken in Val Masino, lower Valtellina (northern Italy). This new lexicographic project was initiated in 2017 and is called Vocabolär del Valoc’ de la Val Mäśen – VVV [Vocabulary of Valoc’ of Val Masino]. Our research team works on the material of an unpublished dictionary based on interviews collected in the 1960s and 1970s. Our methodological approach is both that of dialectology and sociolinguistics as we complement our study with observations and interviews among Valoc’ speakers of different ages, genders and occupations, to see how it is still used today. Moreover, our approach allowed us to observe the process of the transmission of Valoc’ from one generation to another as well as some discourses among speakers on its uses. In conclusion, this contribution brings us to reflect on how the new “global” society may influence the process of transmission of this endangered language which needs to be revitalised. Interventions at primary and secondary school have been offered in order to introduce Valoc’ as a language of everyday communication and not only as the “dialect” of pupils’ grandparents. We examine the importance of developing a dictionary in order to promote a norm of reference in writing as a way to preserve Valoc’ for the future.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.021
GPT teacher head0.218
Teacher spread0.197 · 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
GenreEmpirical

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

Citations1
Published2022
Admission routes1
Has abstractyes

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