Bibliographic record
Abstract
Uumajursiutik unaatuinnamut is the first Indigenous novel ever published in Canada. It was written in Inuktitut by Markoosie Patsauq in the late 1960s. The present work is a morphological analysis of the words contained in Uumajursiutik unaatuinnamut. It has been produced as part of research conducted with Prof. Valerie Henitiuk (Concordia University of Edmonton), in collaboration with Markoosie Patsauq. It is intended as an aid to reading the text, and more generally as a linguistic tool for Inuktitut learners and researchers. It comprises two parts. The first part (pp. 4-62) contains the full text of Uumajursiutik unaatuinnamut segmented into morphemes. The second part (pp. 64-136) is an inventory of all morphemes used in Uumajursiutik unaatuinnamut. Morphemes are classified first alphabetically, then according to their category. Numbers in square brackets within the segmented text refer to the original manuscript, comprising seventy-three pages of syllabic writing with no diacritics (Library and Archives Canada, Harpoon of the Hunter Collection, R11775-0-9-E).
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".