Who is Talking About the Children? A Systematic Literature Review of the Missing and Murdered Indigenous Women Crisis Effects on Children
Bibliographic record
Abstract
The ongoing Missing and Murdered Indigenous Women (MMIW) crisis has affected thousands of families throughout the United States and Canada, resulting in probable trauma to children in the families and communities for generations. Although awareness of the crisis has been growing in recent years through avenues such as social media (#MMIW, etc.), little action has been taken to stem the crisis and its effects. The effects of the crisis on the children left behind is a compelling question that is not often addressed in the media, however. A systematic review of the scientific literature from the United States and Canada was conducted with the addition of gray literature due to limited results found in the scientific literature. The gray literature examined included relevant websites of relevant organizations and news articles. Results of the study demonstrated a dearth of data related to children and MMIW, with no research studies found. The articles analyzed were primarily focused on recommendations and did not specifically address the effects of MMIW on children. Gray literature findings included mention of some policy actions on state and national levels, including many calls to action that have not yet been addressed or implemented. The lack of data regarding the support needs of children affected by MMIW may be one of the reasons actions have been largely absent. One of the possible courses of action may be to better support Native/Indigenous scholars who have insider status. The MMIW crises is deeply personal and perhaps overwhelming to research, indicating support needs for Native/Indigenous scholars in addition to funding.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".