Language as a Stack of Homeostatic Property-Cluster Kinds: From Phonemes to Constructions

This paper develops two operational diagnostics – projectibility and homeostasis – for deciding when linguistic categories warrant treatment as homeostatic property-cluster (HPC) kinds. Projectibility asks whether a category supports reliable out-of-sample inference; homeostasis asks whether identifiable mechanisms plausibly maintain the cluster over time and across instances. I apply these diagnostics to three structural levels. At the phoneme level I use PHOIBLE inventories to show family-wise concentration of inventory sizes and a scaling relation for the front-rounded vowel /y/; at the lexical level I trace diachronic distributional neighbourhoods to show that some lexemes drift while preserving sufficient cohesion for prediction; and at the constructional level I examine \textit{let alone} to show that a small bundle of cues transfers across corpora and degrades predictably under ablation. The contribution is methodological: concrete, reproducible tests that keep kind-claims local and evidence-driven. Where both diagnostics succeed, treating a category as an HPC is empirically warranted; where they fail, a more local or descriptive account is preferable.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-15
DOI
https://doi.org/10.5281/zenodo.17354363
Primary Topic
Syntax, Semantics, Linguistic Variation
Type
article
Field-Weighted Citation Impact
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article

Language as a Stack of Homeostatic Property-Cluster Kinds: From Phonemes to Constructions

Zenodo (CERN European Organization for Nuclear Research)
Syntax, Semantics, Linguistic Variation
article

Language as a Stack of Homeostatic Property-Cluster Kinds: From Phonemes to Constructions

article en

Abstract

This paper develops two operational diagnostics – projectibility and homeostasis – for deciding when linguistic categories warrant treatment as homeostatic property-cluster (HPC) kinds. Projectibility asks whether a category supports reliable out-of-sample inference; homeostasis asks whether identifiable mechanisms plausibly maintain the cluster over time and across instances. I apply these diagnostics to three structural levels. At the phoneme level I use PHOIBLE inventories to show family-wise concentration of inventory sizes and a scaling relation for the front-rounded vowel /y/; at the lexical level I trace diachronic distributional neighbourhoods to show that some lexemes drift while preserving sufficient cohesion for prediction; and at the constructional level I examine \textit{let alone} to show that a small bundle of cues transfers across corpora and degrades predictably under ablation. The contribution is methodological: concrete, reproducible tests that keep kind-claims local and evidence-driven. Where both diagnostics succeed, treating a category as an HPC is empirically warranted; where they fail, a more local or descriptive account is preferable.

Zenodo (CERN European Organization for Nuclear Research)
Humber Polytechnic (CA)
Openalex Percentile: Top 35%
Syntax, Semantics, Linguistic Variation
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