MétaCan
Menu
Back to cohort
Record W4283026075 · doi:10.1075/hcp.72.05bou

On a few instances where deictic directionals confound expectations

2022· book-chapter· en· W4283026075 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

VenueHuman cognitive processing · 2022
Typebook-chapter
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsYork University
Fundersnot available
KeywordsDeixisSimplicitySemantics (computer science)Space (punctuation)Property (philosophy)Set (abstract data type)LinguisticsCore (optical fiber)Feature (linguistics)Computer scienceTheoretical computer scienceNatural language processingMathematicsPure mathematicsEpistemologyPhilosophyProgramming language

Abstract

fetched live from OpenAlex

Abstract Directional deixis (DD) is characterized by a set of properties that recur across languages, e.g. the feature of goal-orientedness and the built-in asymmetry between ventive direction and itive direction. These properties define a formal and semantic space that has a core and a periphery. DD systems that are outliers with respect to any given property or properties can be shown to support, rather than call into question, the validity of DD as a self-standing descriptive category. This requires articulating an explanatory framework that reconciles the complexity at the periphery with the simplicity of the overarching logic, i.e. the fundamental imbalance between the intrinsically conjunctive semantics of ventive markers and the disjunctive semantics of their itive counterparts.

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), Science and technology studies, Insufficient payload (model declined to judge)
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 score0.658
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0230.000

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 head0.063
GPT teacher head0.291
Teacher spread0.228 · 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