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Record W3184558981 · doi:10.1556/2062.2021.00501

Deriving Level 1/Level 2 affix classes in English: Floating vowels, cyclic syntax

2021· article· en· W3184558981 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

VenueActa Linguistica Academica · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsAffixLinguisticsVowelMerge (version control)Computer scienceGrammarNatural language processingPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article accounts for the traditionally-labelled Level 1/Level 2 affix distinction in English by combining the predictions of floating segmental structure (e.g. Rubach 1996) and cyclic spell-out by phase (Chomsky 1999; Marantz 2007). It offers insight not only into the different phonological patterns these affixes trigger, but importantly, explains when the same affix will trigger distinct phonological patterns (when an affix behaves sometimes as Level 1 and sometimes as Level 2). It is argued that Level 1 affixes are distinguished by an initial floating vowel in their underlying representations, and that if we combine this with the proposal that affixes that merge directly to roots are interpreted in the same phonological cycle as these roots then we can remove the reference to diacritic notions such as Level 1 and Level 2 from the grammar. This then allows for a fully modular account of English affix classes, where the phonological derivation refers solely to phonological representations.

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)0.001
metaresearch head score (Gemma)0.062
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.630
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.062
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.068
GPT teacher head0.277
Teacher spread0.208 · 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