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Record W4396883143 · doi:10.16995/labphon.6420

Weight effects and the parametrization of the foot: English versus Portuguese

2024· article· en· W4396883143 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

VenueLaboratory Phonology Journal of the Association for Laboratory Phonology · 2024
Typearticle
Languageen
FieldComputer Science
TopicDigital Rights Management and Security
Canadian institutionsMcGill UniversityUniversité Laval
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

This article explores the possibility that even though English and Portuguese present similar stress patterns on the surface, the two languages may be formally different: whereas English offers strong evidence for the foot, Portuguese does not. We present new data on the relationship between syllable weight and antepenultimate stress in both languages. We experimentally show that weight effects in English are consistent with an analysis of stress that employs feet. Weight effects in Portuguese, in contrast, are not optimally accounted for by a foot-based analysis. Sonority effects captured in our experimental data from Portuguese further question the role that the foot plays in this language, but not in English. Additional evidence for the foot in English comes from word minimality constraints, which are never violated in the language, unlike in Portuguese, where violations are commonly observed both in the lexicon and in derived words.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.210
Teacher spread0.206 · 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