Criminal Justice or Public Health: A Comparison of the Representation of the Crack Cocaine and Opioid Epidemics in the Media
Bibliographic record
Abstract
CONTEXT: The opioid epidemic is a major US public health crisis. Its scope prompted significant public outreach, but this response triggered a series of journalistic articles comparing the opioid epidemic to the crack cocaine epidemic. Some authors claimed that the political response to the crack cocaine epidemic was criminal justice rather than medical in nature, motivated by divergent racial demographics. METHODS: We examine these assertions by analyzing the language used in relevant newspaper articles. Using a national sample, we compare word frequencies from articles about crack cocaine in 1988-89 and opioids in 2016-17 to evaluate media framings. We also examine articles about methamphetamines in 1992-93 and heroin throughout the three eras to distinguish between narratives used to describe the crack cocaine and opioid epidemics. FINDINGS: We find support for critics' hypotheses about the differential framing of the two epidemics: articles on the opioid epidemic are likelier to use medical terminology than criminal justice terminology while the reverse is true for crack cocaine articles. CONCLUSIONS: Our analysis suggests that race and legality may influence policy responses to substance-use epidemics. Comparisons also suggest that the evolution of the media narrative on substance use cannot alone account for the divergence in framing between the two epidemics.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 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".