Bibliographic record
Abstract
Reduplication and Initial Change, prominent phonological processes in Algonquian languages, are productive in the Innu-aimun dialect spoken in Sheshatshiu, Labrador. Reduplication, especially common with verbs, repeats elements of words to signify a kind of multiplicity or pluractionality. Initial Change modifies the first vowel of the verb stem, marking particular grammatical contexts. The form of the change varies with the original vowel quality and is language specific. In Innu-aimun, both processes target the leftmost edge of words, and have the potential to apply concurrently to a word. This thesis describes monosyllabic and bisyllabic reduplication for Sheshatshiu Innu-aimun, discussing commonalities with other Algonquian languages and features unique to this dialect. The description of Initial Change discusses the expected change patterns and notes a previously undescribed pattern. This work also examines the interaction of reduplication and Initial Change as they apply to the same words, suggesting some theoretical explanations underlying the observed data.
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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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".