Towards reconciliation: 10 Calls to Action to natural scientists working 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 2015, after documenting testimonies from Indigenous survivors of the residential school system in Canada, the Truth and Reconciliation Commission released 94 Calls to Action to enable reconciliation between Indigenous and non-Indigenous Canadians. Without personal connections to Indigenous communities, many Canadians fail to grasp the depth of intergenerational impacts of residential schools and associated systemic racism. Consequently, reconciliation remains an elusive concept. Here we outline 10 Calls to Action to natural scientists to enable reconciliation in their work. We focus on natural scientists because a common connection to the land should tie the social license of natural scientists more closely to Indigenous communities than currently exists. We also focus on natural sciences because of the underrepresentation of Indigenous peoples in this field. We draw on existing guidelines and our experiences in northern Canada. Our 10 Calls to Action are triggered by frustration. The authors have witnessed examples where natural scientists treat Indigenous communities with blatant disrespect or with ignorance of Indigenous rights. These 10 Calls to Action challenge the scientific community to recognize that reconciliation requires a new way of conducting natural science, one that includes and respects Indigenous communities, rights, and knowledge leading to better scientific and community outcomes.
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 | 0.001 | 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 | 0.001 |
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