Crosshairs on Our Backs: The Culture of Fear and the Production of the D.C. Sniper Story
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
This paper examines the ways in which the DC area sniper story of October 2002 was constructed by the media. Utilizing a grounded approach, we conducted a content analysis of over 500 Washington Post articles published during the attacks. We contend that the newspaper emphasized fear, drama, and feelings of vulnerability in order to heighten the marketability of the narrative. It also constructed a binary rubric under which people were channelled into one of two competing camps. Those who felt vulnerable and reproduced preferred meanings of crime were most commonly cited in the paper. Less fearful voices were given little attention and, when present, were dismissed, marginalized, and rebuked. Such constructions simply reproduce dominant discourses and do little to inform the public. We conclude our article with suggestions for reducing the public’s anxiety from the media’s misrepresentation of crime.
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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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