“Folks Don't Understand What It's Like to Be a Native Woman”: Framing Trauma via #MMIW
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
Indigenous people are often part of the “fourth world”—a subaltern community whose members experience poor social outcomes despite living in a first world context. In North American, fourth world status has resulted in a “crisis” of missing and murdered indigenous women and girls. Activists have successfully garnered attention to the issue of “MMIW,” pressuring Canada to launch a National Inquiry and prompting US policymakers to introduce legislation. This study considered how Twitter has facilitated MMIW (cyber)activism by cultivating a collective indigenous identity. It considered how participants in #MMIW framed the nature of indigenous trauma in contrast to mass media framings of indigenous issues. The researchers conducted a thematic analysis of 481 tweets sampled from May-July of 2019. They found that hashtag participants framed indigenous trauma as (a) personal and pervasive, (b) systemic and structural, and (c) continued injustice, mobilizing a nation-building discourse.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it