Bibliographic record
Abstract
This thesis provides a phonological, psycholinguistic and phonetic description of vowel harmony in Canadian French (CF), as well as a theoretical account of the phenomenon showing that the CF facts may only be accounted for in derivational frameworks that include the notion of 'cycle.' CF [ATR] vowel harmony is regressive, optional, and parasitic on the feature [+high]. CF [ATR] harmony involves spreading of a [-ATR] feature from a final [+high] vowel in a closed syllable to other [+high] vowels within the same word that are in non-final open syllables (e.g. [fi.lIp] or [fI.lIp] are both acceptable variants for 'Phillip'). The thesis describes and explains the four key attributes of harmony in this language: 1) There is inter-speaker (and possibly intra-speaker) variation with respect to whether harmony is applied locally and/or iteratively. Variation with respect to these parameters leads to the existence of three patterns of harmony, as evidenced by words of more than two syllables. There is the local non-iterative pattern, e.g. [i.lI.sIt] ('illicit'), the non-local pattern, e.g. [I.li.sIt] and the 'across-the-board' pattern [I.lI.sIt].2) As shown in 1), there exists a pattern of non-local harmony, in which the target vowel is separated from the trigger by another [+high] vowel. 3) Harmony is counterbled by a process of 'pre-fricative tensing,' which leads to opaque allophony. 4) Harmony applies cyclically, but is then counterbled by another 'open-syllable tensing' process, which results in another case of opacity. For example, harmony can apply in a word like [mY.zIk] ('music'), but if we concatenate a resyllabifying suffix like [al], we obtain [mY.zi.kal] ('musical'). The initial [+high] vowel can be [-ATR], since harmony applied in the stem, but the resyllabified trigger must be [+ATR], by an open syllable tensing rule.The thesis makes the following claim: CF vowel harmony shows very compellingly that models of the phonological component must include mechanisms accounting for non-local relations, derivational opacity and the interaction between phonology and morphology.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".