MétaCan
Menu
Back to cohort
Record W2600265565 · doi:10.1111/stul.12072

A Formal Typology of Reflexives

2017· article· en· W2600265565 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

VenueStudia Linguistica · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTypologyLinguisticsReflexivityBantu languagesSyntaxClass (philosophy)SociologyComputer sciencePhilosophyArtificial intelligenceAnthropology

Abstract

fetched live from OpenAlex

Abstract Starting with the observation that reflexives do not form a homogenous class, we develop a formal typology for reflexives. In particular, on the basis of data from English (Germanic), French (Romance), Shona (Bantu), Plains Cree (Algonquian), and Halkomelem (Salish), we argue for the existence of (at least) five categorically distinct reflexive forms: D‐reflexives, φ‐reflexives, Class‐reflexives, n ‐reflexives, and N‐reflexives. We present the following arguments in support of this typology: (i) reflexive forms differ in their syntactic distribution; (ii) reflexive forms differ in the syntactic parallelism they exhibit; (iii) reflexive forms differ in the patterns of multi‐functionality they exhibit; (iv) reflexive forms differ in their syntactic integration into the clause; (v) reflexive forms differ in their semantic mode of composition. The analysis that we develop is couched within the Interface Syntax model of Wiltschko & Déchaine (2010), according to which sound‐meaning bundles freely associate with a universally defined syntactic spine.

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)0.007
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: Empirical · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.870

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.056
GPT teacher head0.315
Teacher spread0.259 · 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