A brief descriptive grammar of Pijal Media Lengua and an acoustic vowel space analysis of Pijal Media Lengua and Imbabura Quichua
Bibliographic record
Abstract
This thesis presents an acoustic vowel space analysis of F1 and F2 frequencies from 10 speakers of Pijal Media Lengua (PML) and 10 speakers of Imbabura Quichua (IQ). This thesis also provides a brief grammatical discription of PML with insights into contrasts and similarities between Spanish, Quichua and other documented varieties of Media Lengua (ML). ML is typically described as a mixed language with a Quichua morphosyntactic structure where almost all content words are replaced by their Spanish-derived counterparts through the process of relexification. I use mixed effects models to test for statistical significance between PML Spanish-derived vowels and Quichua-derived vowels. The results provide suggestive data for (1) co-existing vowel systems in moderate contact situations and (2) moderate evidence for co-exsiting vowel systems in extreme contact situations. Results also show that PML may be manipulating as many as eight vowels and IQ as many as six.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".