The challenges of ethnic and racialized separation for truth and reconciliation in Canada
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 1975, anthropologist Niels Braroe published Indian and White: Self Image and Interaction in a Canadian Plains Community. Braroe concluded that members of the Nekaneet First Nations (NFN), who resided in or made periodic trips to the neighboring Settler community of Maple Creek, Saskatchewan, operated on the fringe of economic and social activities, where they embattled the imposed social stigma of being ‘Indian’. Nearly 50 years after, we returned to Maple Creek to learn if conditions had changed since Braroe’s original research. We found that distinct categories of Indian and White were still very much intact, with identities generalized and fixed by pejorative beliefs. The intention in this research was not to uncover tensions that may exist between the NFN and Settlers. Rather, as applied anthropologists we sought to understand the conditions that foster the obstinacy of values and cultural behaviors that could impede meaningful reconciliation. As noted by Canada’s Truth and Reconciliation Commission, a necessary starting point for national healing involves coming to terms with the events of the past and gaining a shared recognition of the inequalities that continue to exist today.
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 | 0.001 | 0.001 |
| 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) | 0.000 | 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 it