MétaCan
Menu
Back to cohort
Record W4386661731 · doi:10.7202/1081887ar

Two Neuter Pronouns in Picard

2021· article· en· W4386661731 on OpenAlexaffvenue
Julie Auger

Bibliographic record

VenueArborescences Revue d études françaises · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval European Literature and History
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCliticLinguisticsRomance languagesPronounPersonal pronounVariety (cybernetics)Null (SQL)Subject (documents)MathematicsPhilosophyComputer scienceStatistics

Abstract

fetched live from OpenAlex

In the Vimeu variety of Picard, a Gallo-Romance closely related to French, three different neuter subject clitic pronouns are found: a , ch’ , and a null form. This paper examines the distribution of these forms in contemporary texts in order to determine the extent to which these pronouns resemble those found in other Gallo-Romance languages or whether their source must be sought in colloquial varieties of French. We argue, based on phonological, syntactic, and semantic criteria, that the French origin better accounts for the similarities between the two varieties. Based on their syntactic distribution, we argue that the three forms represent two different pronouns, a and ch’ , that the null form is an allomorph of a in certain phonological contexts, and that the distinction between a /Ø and ch’ constitutes an innovation in Picard.

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)0.000
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: none
Teacher disagreement score0.990
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.026
GPT teacher head0.225
Teacher spread0.199 · 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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueArborescences Revue d études françaisesSame topicMedieval European Literature and HistoryFrench-language works237,207