Bibliographic record
Abstract
The oral history of Indigenous people in Canada has been recognized by mainstream legal systems in Canada over the past few decades as being of fundamental importance in court cases and negotiations with Indigenous peoples. As Indigenous peoples further exercise their right to self-government, they will continue drawing their oral traditions to define and develop their autonomous legal system. This anthology attempts to collect a wide variety of materials that embody many perspectives. It attempts to place those materials within a conceptual framework that might be helpful in looking at Indigenous oral history, and indeed oral history generally. That framework includes viewing oral history in three dimensions of time - testimony about recent events, oral histories that encompass an individual's lifetime, and oral traditions that are passed down from generation to generation. The framework includes looking at oral history in the context of how many cultures and traditions incorporate oral history in their legal systems and cultures. It asks both how values and methods differ among communities and how they reflect widespread or virtually universal tendencies. The framework also invites the reader to consider the different ways in which oral evidence can or should be reinforced or qualified by references to other sources of information, such as other oral evidence, documentary testimony and physical evidence of various kinds. It is hoped that this collection will be of assistance to others in studying or developing their own teaching materials in this dynamic area.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.125 | 0.019 |
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".