Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This book is the work of my late mother, Sarah Whitecalf, who recorded her reminiscences for two friends she made late in life: Freda Ahenakew and Chris Wolfart.The recordings on which the present volume is based are highly personal.They were made on various occasions over the course of almost three years, beginning in March 1988 and ending in December 1990, less than a year before her death on 1 October 1991.Some of these recordings were made at my mom's in Saskatoon or at the late Freda Ahenakew's home at Muskeg Lake.Other interviews were done in the recording studio of the Linguistics Department at the University of Manitoba or during one of the many other trips on which my mom went with Freda.She was often in the company of her friends, including for example Cecilia Masuskapoe, Rosa Longneck and Grace Ahenakew, but sometimes also younger Cree speakers such as her
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it