Bibliographic record
Abstract
D'un point de vue typologique, la langue inuit (famille eskaleoute) est connue pour son caractere polysynthetique qui se manifeste non seulement au niveau de la proposition mais aussi au niveau du lexique hautement motive. Bon nombre d'entrees lexicales sont aisement decomposables et l'on constate qu'un meme radical peut servir de denominateur commun a toute une serie d'unites lexicales designant des realites variees. Cependant l'histoire phonetique du tunumiisut, dialecte inuit du Groenland oriental, a contribue a rendre plus opaques certaines unites lexicales. On presentera tout d'abord les entrees lexicales analysees suivies des derivations s'y afferant puis une liste des affixes attestes dans le corpus. Il s'agit d'une analyse synchronique fondee sur des enquetes de terrain. L'ouvrage presente enfin une liste des entrees et des affixes en langue anglaise et danoise
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".