Bounding an emerging technology: Para-scientific media and the Drexler-Smalley debate about nanotechnology
Bibliographic record
Abstract
‘Nanotechnology’ is often touted as a significant emerging technological field. However, determining what nanotechnology means, whose research counts as nanotechnology, and who gets to speak on behalf of nanotechnology is a highly political process involving constant negotiation with significant implications for funding, legislation, and citizen support. In this paper, we deconstruct a high-profile moment of controversy about nanotechnology’s possibilities: a debate between K. Eric Drexler and Richard Smalley published as a ‘point—counterpoint’ feature in 2003 in Chemical & Engineering News. Rather than treat the debate as a stand-alone episode of scientific controversy, we seek to understand the forces that enabled it to be seen as such an episode. We introduce the term ‘para-scientific’ media to make explicit how certain forms of publication intervene in the dissemination of technical knowledge as it travels beyond its supposed site of production. The existence of para-scientific media is predicated on intimate association with formalized channels of scientific publication, but they also seek to engage other cultures of expertise. Through this lens, we show that Drexler and Smalley were not only independent entrepreneurs enrolling Chemical & Engineering News as a site of boundary work; members of the para-scientific media actively enrolled Drexler and Smalley as part of a broader effort to simplify a complex set of uncertainties about nanotechnology’s potential into two polarized views. In this case study, we examine received accounts of the debate, describe the boundary work undertaken by Drexler and Smalley to shape the path of nanotechnology’s emergence, and unpack the boundary work of the para-scientific media to create polarizing controversy that attracted audiences and influenced policy and scientific research agendas. Members of the para-scientific media have been influential in bounding nanotechnology as a field-in-tension by structuring irreconcilable dichotomies out of an ambiguous set of uncertainties. We conclude with thoughts about the implications of this case study for studies of science communication, institutional entrepreneurship and the ethics of emerging technologies.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | high |
| gpt | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | high |
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.025 | 0.046 |
| Scholarly communication | 0.036 | 0.037 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.016 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".