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.
Bibliographic record
Abstract
In Algonquian linguistics, indeclinable particles are traditionally treated as a single class. Although this approach is morphologically accurate, it obscures the fact that particles serve a wide variety of grammatical functions. This thesis examines the particles of Innu-aimun, an Algonquian language spoken in Labrador and Quebec. Based on a detailed grammatical analysis, particles are classified into the following more specific part-of-speech categories: adnominal particles (adjectives and quantifiers), prepositions, adverbs, focus particles, question particles, negators, conjunctions, and interjections. The grammatical properties that distinguish each class are described and analyzed. The declinable categories of pronouns, demonstratives, and locative-inflected nouns, which have certain properties in common with particles, are also discussed. While the primary goal of the thesis is to provide a broad and comprehensive description of the grammar of Innu-aimun particles, the analysis is expressed using the framework of generative grammar and theoretical explanations are suggested throughout.
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 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 | 0.001 |
| 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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it