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
Despite a long and rich tradition of oral history research, few are aware of the innovative and groundbreaking work of oral historians in Canada. For this first primer on the practices within the discipline, the editors of The Canadian Oral History Reader have gathered some of the best contributions from a diverse field. Essays survey and explore fundamental and often thorny aspects in oral history methodology, interpretation, preservation and presentation, and advocacy. In plain language, they explain how to conduct research with indigenous communities, navigate difficult relationships with informants, and negotiate issues of copyright, slander, and libel. The authors ask how people’s memories and stories can be used as historical evidence – and whether it is ethical to use them at all. Their detailed and compelling case studies draw readers into the thrills and predicaments of recording people’s most intimate experiences, and refashioning them in transcripts and academic analyses. They also consider how to best present and preserve this invaluable archive of Canadian memories. The Canadian Oral History Reader provides a rich resource for community and university researchers, undergraduate and graduate students, and independent scholars and documentarians, and serves as a springboard and reference point for global discussions about Canadian contributions to the international practice of oral history. Contributors include Brian Calliou (independent scholar), Elise Chenier (Simon Fraser University), Julie Cruikshank (University of British Columbia), Alexander Freund (University of Winnipeg), Steven High (Concordia University), Nancy Janovicek (University of Calgary), Jill Jarvis-Tonus (independent scholar), Kristina R. Llewellyn (Renison University College, University of Waterloo), Bronwen Low (McGill University), Claudia Malacrida (University of Lethbridge), Joy Parr (Western University), Joan Sangster (Trent University), Emmanuelle Sonntag (Université du Québec à Montréal), Pamela Sugiman (Toronto Metropolitan University), Winona Wheeler (University of Saskatchewan), and Stacey Zembrzycki (Concordia University).
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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