Bibliographic record
Abstract
The kakeskihkemowina or 'counselling discourses' which make up this collection of Plains Cree texts were given between 1987 and 1989, while the speaker was senior member of the Council of Elders at the Saskatchewan Indian Cultural College in Saskatoon and Freda Ahenakew the Director of the Saskatchewan Indian Languages Institute.They were all delivered on public occasions -at the College itself, at a retreat held by the College on Thunderchild's Reserve and, above all, at the Saskatchewan Indian Languages Institute -by kd-pimwewehahk, known in English as Jim Ka-Nipitehtew or simply (but affectionately and respectfully) as 'Old Jim'.A widely respected orator from wihcekaskosiwi-sdkahikanihk 'at Onion Lake' and a monolingual speaker of Cree, kd-pimwewehahk was almost ninety years old at the time of his death on 20 August 1996.As public speeches, these formal discourses of exhortation and explanation were first of all addressed to a live audience of fellow elders, chiefs, College and Institute staff and visitors.At the same time, however, the speaker intended the recordings that were being made to be preserved for future educational use:
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.364 | 0.149 |
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".