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Record W2138083730 · doi:10.1163/19552629-00802003

Intonation Patterns in Pijal Media Lengua

2015· article· en· W2138083730 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Language Contact · 2015
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Manitoba
FundersUniversity of Manitoba
KeywordsIntonation (linguistics)LinguisticsPitch accentPhoneticsTone (literature)Computer scienceHistoryPsychologyProsodyPhilosophy

Abstract

fetched live from OpenAlex

Pijal Media Lengua ( pml ) is a mixed language described as having Quichua morphosyntactic and phonological systems where nearly every content word (89%), including pronouns and determiners, is replaced by its Spanish-derived counterpart through the process of relexification. pml speakers however, often regard their language as intonationally distinct from both Quichua and Spanish. This paper offers a basic description of the pitch accent and boundary tone configurations found in pml using the autosegmental framework (Pierrehumbert, 1980) in a ToBI transcription system (Silverman, 1984). This paper also explorers the current literature on mixed language phonetics and attempts to promote acoustic analyses of intonation as a useful investigative tool for analyzing the origins of prosodic material. The results suggest that pml predominantly makes use of Quichua-like intonation patterns along with innovative and/or preserved structures.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.065
GPT teacher head0.391
Teacher spread0.325 · 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