Understanding the ways missing and murdered Indigenous women are framed and handled by social media users
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
The media plays a large role in facilitating negative racial and gender ideologies about Indigenous women. In Canada, as we struggle with the national crisis of missing and murdered Indigenous women (MMIW), researchers have collected data from social media (SM) and identified that subversive texts about Indigenous women perpetuate a racialized violent discourse. Given that many Indigenous peoples, including Indigenous youth, have smart phones and/or other ways to access SM they too are exposed to the discourse that subjugates, vilifies and dehumanizes Indigenous women, many of whom are family or community members. Our research investigates the messages shared on #MMIW and identifies a reframing by hashtag users. The results assist in understanding how SM plays a role in perpetuating stereotypes about Indigenous peoples but also how SM can be used to mitigate those messages.
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 | 0.000 | 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) | 0.001 | 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 it