CRISPR in the North American popular press
Bibliographic record
Abstract
PURPOSE: CRISPR is often called one of the century's most important discoveries and is commonly discussed in terms of its momentous potential impacts. This study analyzed how CRISPR is discussed in the North American popular press, including how it is defined, and which benefits and risks/concerns are attributed to the technology. METHODS: Using the Factiva database, we identified 228 relevant, nonduplicated articles containing either "CRISPR" or "C.R.I.S.P.R.," published in popular US and Canadian news sources between 1 January 2012 and 12 July 2017. Content analysis was performed on the articles. RESULTS: CRISPR is most often discussed in the context of human health (83.8%), compared with animals (26.3%) and plants (20.6%). Nearly all articles (96.1%) presented CRISPR's potential benefits; 61.4% of articles presented CRISPR-related risks/concerns, the vast majority of which focused on the uncertainty surrounding CRISPR, specifically with respect to germline modifications. CONCLUSIONS: Overall, the discourse suggests a strong promotion of CRISPR, but an element of caution is also evident. Technical as well as ethical, legal, and social risks/concerns play a prominent role. This media portrayal of CRISPR might help facilitate more sophisticated and balanced policy responses, where the scientific potential of the technology is highlighted alongside broader social considerations.
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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 | 0.000 | 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) | 0.000 | 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".