Bibliographic record
Abstract
In the 1850's John Harden and E.A. Watkins, missionaries of the Church Missionary Society (CMS) to James Bay, began the work of adapting James Evan's Cree syllabic orthography to Inuktitut. Watkins' introduced the syllabic writing system to Inuit at Fort George and Little Whale River in 1855, and that same year Harden printed a small book of scripture verses in syllables on his press at Moose Factory. In 1865, at the request of CMS Secretary Henry Venn, Harden and Watkins met in conference in England and modified the syllabic system to allow a more precise rendering of both Inuktitut and Moose Cree. It remained for Edmund James Peck, who arrived in the diocese in 1876, to devote his attention to the translation of scripture into Inuktitut in Harden and Watkins' orthography. Only minor changes were made in the Inuktitut orthography until the major revision under the direction of the Inuit Cultural Institute in the 1970's.
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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.030 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".