Responses to the Missing and Murdered Indigenous Women and Girls Report across the Context of Higher Education: A Scoping Review Protocol
Bibliographic record
Abstract
Statement of the Research Problem A national inquiry into the alarming number of missing and murdered Indigenous women and girls (MMIWG) was launched by the Government of Canada in September 2016 (Government of Canada, 2016). The inquiry’s general truth gathering process was composed of community hearings, institutional hearings, and expert hearings (Brant, 2020). In June 2019, the inquiry released its final report, entitled Reclaiming Power and Place: The Final Report of the National Inquiry into Missing and Murdered Indigenous Women and Girls (MMIWG, 2019). The report also proclaimed 231 Calls for Justice to end violence against Indigenous women, girls, and 2SLGBTQQIA people, which are imperatives that the Canadian government and various sectors must adhere to and implement within their practices (MMIWG, 2019). The Truth and Reconciliation Commission (TRC) of Canada (2015) includes 94 Calls to Action for addressing racism and achieving reconciliation with Indigenous peoples. The final report of the National Inquiry into MMIWG (2019) responded to the TRC and reaffirmed the importance of reconciliation and the need for addressing racism and violence against MMIWG, and 2SLGBTQQIA people. To stop the systemic reproduction of gendered colonial violence in Canadian society, substantial changes are required for Indigenous women and girls to feel secure, empowered, and visible (Pabla, 2021). After the release of the MMIWG report, there was a strong hope and expectation that various institutions and levels of government would respond and implement changes to address the Calls for Justice (Leddy, 2021). Higher education institutions need to take the identified Calls for Justice seriously and move forward in the work of reconciliation and decolonization to develop professionals who understand the devastating impact of colonization and to provide culturally safe services (Cote-Meek & Moeke-Pickering, 2020; Turpel-Lafond, 2020). It has been more than two years since the MMIWG report, and the 231 Calls for Justice, were released. Therefore, it is timely to conduct a scoping review to map the response to the report in higher education and the progress that has been made to uncover concerning gaps and inform future research and responses.
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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 | 0.145 | 0.174 |
| Meta-epidemiology (narrow) | 0.003 | 0.005 |
| Meta-epidemiology (broad) | 0.008 | 0.010 |
| Bibliometrics | 0.018 | 0.014 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.012 | 0.008 |
| Insufficient payload (model declined to judge) | 0.060 | 0.015 |
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".