The Influence of Indigenous Women in Canadian Government and Politics
Bibliographic record
Abstract
Although this research is on-going, it attempts to draw conclusions to various critical questions regarding the desire of Indigenous women to join and participate in electoral politics. In trying to understand the challenges Indigenous women experience during their work in politics as well as the types of policies they push to implement and influence, we can perhaps better examine and address the types of issues Indigenous women and their communities face. The colonial project continues to oppress Indigenous communities and nations across Canada. While there has been a large increase in research involving Indigenous-settler relations, awareness of the colonial project and its strategies against Indigenous people continues to be dismissed as a historical event. However, it is critical to understand the past, analyze historical movements, and work towards repairing the harm these events have caused and continue to cause to Indigenous peoples. During the 2015 federal elections, many speculated that Indigenous women were encouraged to join politics due to the Liberal Party's "reconciliation agenda" under Justin Trudeau. This research examines whether this is true or what the underlying reasons Indigenous women consider when joining electoral politics in Canada.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.049 | 0.013 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".