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Record W4406202779 · doi:10.1086/732880

A Typology of Relationalizing and Absolutizing Morphology in Lowland South American Languages

2025· article· en· W4406202779 on OpenAlexaff
Andrés Pablo Salanova, Andrey Nikulin

Bibliographic record

VenueInternational Journal of American Linguistics · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsTypologyMorphology (biology)LinguisticsLinguistic typologyHistoryArchaeologyPhilosophyGeology

Abstract

fetched live from OpenAlex

In many languages of lowland South America, nominal, verbal, and adpositional/adverbial stems are divided into two large classes, relational and absolute, according to whether or not they demand a complement in a specific position, respectively. After proposing a working definition of relationality with wide cross-linguistic applicability, we offer a typology of the morphological devices that convert stems from either of these classes to the other, surveying various parameters for describing such relationalizing and absolutizing morphology (RAM). These include directionality, productivity, pervasiveness of relational lability, existence of suppletive pairs, relationality preservation in derivation, and the possibility of RAM stacking. We observe that restricted relational lability is a strong areal feature in Eastern South America. Finally, we discuss so-called contiguity inflection, a category that has been proposed for a number of South American languages, and show that it is epiphenomenal and can be decomposed into RAM and person inflection.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.005
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.295
Teacher spread0.279 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueInternational Journal of American LinguisticsSame topicSyntax, Semantics, Linguistic VariationFrench-language works237,207