<i>Sqwéqwel’ Múta7 Sptakwlh: St’át’imcets Narratives</i>. By Qwa7yán’ak (Carl Alexander). Translated by Elliott Callahan, Henry Davis and John Lyon. Edited by Henry Davis, John Lyon and Lisa Matthewson. Vancouver: University of British Columbia Occasional Papers in Linguistics and Lillooet: Upper St’át’imc Language, Culture and Education Society, 2016. Pp. xxx+434. $27.00 CAD (paper). ISBN 978-0-88865-259-1.<i>Sqwéqwel’s Nelh Skelkekla7lhkálha: Tales of Our Elders</i>. By Bill Edwards, Martina LaRochelle and Sam Mitchell. Translated and edited by Henry Davis, John Lyon, Jan van Eijk and Rose Agnes Whitley. Vancouver: University of British Columbia Occasional Papers in Linguistics and Lillooet: Upper St’át’imc Language, Culture and Education Society, 2017. Pp. xxxii+347. $26.00 CAD (paper). ISBN 978-0-88865-263-8.
Bibliographic record
Abstract
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".