Alienation flows through the barrel of a gun: Despair, mass shootings, and suicide in an American settler colony
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
In what is now referred to by many as the United States, gun violence rages on. When one considers the country’s sheer number of annual gun deaths, the data is as overwhelming as it is distressing. Indeed, perhaps the only thing outpacing the trauma and loss of life wrought by gun violence is the anguish and grief of those who are impacted by it. Despite the shocking statistics and fervent calls for change, few efforts have been effective at curbing the harm. Such a reality raises pressing questions about why gun violence in the U.S. is so prevalent, and what can be done to prevent it. In this Contention, I maintain that the only way out of the U.S.’s centuries-long doom spiral of gun violence will be reckoning with the nation’s historical-ongoing trajectories of settler colonialism, heteropatriarchy, white supremacy, and imperialism. I further contend that any effort to eliminate gun violence in the U.S. mandates ending mass alienation and taking masculinity to task. Accordingly, I illustrate how guns are not actually the root of the problem, even though their ease of access and the culture(s) surrounding them are corollary symptoms that necessitate urgent intervention. In short, I argue that resolving gun violence in the U.S. demands a historical-structural-intersectional focus and that the source of the country’s firearm-involved deaths are alienation, despair, and oppression owed to capitalism, entrenched patriarchal social relations, and the settler colonial state––all of which must be abolished if we are seriously concerned with livable futures.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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