Revisiting Mianscum's ‘telling what you know’ in Indigenous Qualitative Research
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
In his 1972 court appearance, (James Bay Cree vs. James Bay Energy Corporation), François Mianscum was asked to swear on the Bible to “tell the truth”. The Cree hunter had been summoned to account for his “way of life” and speak about the impact of massive development on his traditional hunting ground by the construction of hydroelectric dams. After contemplation and deliberation of a seemingly routine court request his translator responded, “He does not know whether he can tell the truth. He can only tell what he knows.” (Richardson, 1975, P. 46) Cited widely through Clifford's (1986) inclusion of “the story” for its importance, how can his words guide researchers' approach to “honesty” in qualitative inquiry? This paper turns to the significant members of Mianscum's life to ask how they interpret his statement and what messages can be gained from it while carrying out research in both the indigenous and non-indigenous context.
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 | 0.326 | 0.136 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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