Voice onset time production in Ecuadorian Spanish, Quichua, and Media Lengua
Bibliographic record
Abstract
In Ecuador there exists a dynamic language contact continuum between Urban Spanish and Rural Quichua. This study explores the effects of competing phonologies with an analysis of voice onset time (VOT) production in and across three varieties of Ecuadorian highland Spanish, Quichua, and Media Lengua. Media Lengua is a mixed language that contains Quichua systemic elements and a lexicon of Spanish origin. Because of this lexical-grammatical split, Media Lengua is considered the most central point along the language continuum. Native Quichua phonology has a single series of voiceless stops (/ p /, / t /, and / k /), while Spanish shows a clear voicing contrast between stops in the same series. This study makes use of nearly 8,000 measurements from 69 participants to (i) document VOT production in the aforementioned language varieties and (ii) analyse the effects of borrowings on VOT. Results based on mixed effects models and multidimensional scaling suggest that the voicing contrast has entered both Media Lengua and Quichua through Spanish lexical borrowings. However, the VOT values of voiced stops in Media Lengua align with those of Rural and L2 Spanish while Quichua shows significantly longer prevoicing values, suggesting some degree of overshoot.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".