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Record W2501694069 · doi:10.1075/rllt.1.02bur

Variable-behavior Ps and the location of PATH in Old French

2009· book-chapter· en· W2501694069 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

VenueRomance languages and linguistic theory · 2009
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsLocative caseLexiconTransitive relationInterpretation (philosophy)Computer scienceLinguisticsSemantics (computer science)Natural language processingVariation (astronomy)Artificial intelligenceVariable (mathematics)Class (philosophy)VerbLexical semanticsLexical itemMathematicsPhilosophyPhysics

Abstract

fetched live from OpenAlex

This paper investigates the interaction between lexical semantics and syntactic structure in the interpretation of prepositional phrases through a study of the lexical encoding of directionality in prepositions and particles in Old French (OF). OF had a series of locative and directional prepositions that could be used intransitively, where they were interpreted directionally or aspectually. We argue that the different interpretations available to these elements are a result of the syntactic configurations into which they are placed, not a systematic homophony in the lexicon. We first show that, for each element in the class under consideration, its interpretation can be predicted based on its transitivity properties and the type of verb with which it is paired. We then present our analysis of the OF prepositional system, and show how the lexical semantics of individual particles and general rules of composition conspire to create the semantic variation found in our data.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.732
Threshold uncertainty score0.615

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)0.0000.000

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 head0.010
GPT teacher head0.242
Teacher spread0.232 · 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