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Enregistrement W745831610

A Spoonful of Trust Helps the Nanotech Go Down

2004· article· en· W745831610 sur OpenAlex

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Notice bibliographique

RevueDigitalGeorgetown (Georgetown University Library) · 2004
Typearticle
Langueen
DomaineEngineering
ThématiqueNanotechnology research and applications
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésVisionDystopiaGovernment (linguistics)Public trustEnablingPublic relationsPolitical scienceBusinessSociologyLawMedicine
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction Utopian and dystopian visions of nanotechnology are prominent in both the public press and academic literature. Proponents argue that nanotechnologies will help clean the environment, produce cheap energy and eliminate poverty, (1) while opponents respond that nanotechnologies will undermine local economies, raise serious health and safety issues, and possibly even destroy the environment. (2) It would be easy to reject out of hand these visions as extreme and irrelevant, because they do not represent the current or likely future states of the technology. However, this move side-steps the question of why these extreme visions arise, and more importantly, the problems that such polarized discussions create for public trust in government and science. As should be clear from recent experiences in Europe with genetically modified (GM) foods, it is no longer sufficient for governments, scientists and industry to deploy a technology that experts have deemed safe and effective--the general public must also buy the new technology if it is to be adopted. But this buy-in and public trust can be significantly undermined by the hyping of new technologies. In this paper, I argue that if governments, academic scientists and industry wish to effectively develop the potential of nanoscience and nanotechnologies, they must be cognizant of the dangers of over-hyping research and losing public trust. Hype Hype is arguably an important part of the opening phases in the development of a new technology, because it facilitates the creation of new networks of relations, helps in the acquisition of necessary resources (human, financial, technical), and permits the development of a popular consciousness about how the new technology will replace old, less effective ways of doing things. (3) By projecting an image of where a technology will lead, developers create a possible future that is fundamental to producing the incentives and obligations that will be necessary to mobilise the necessary resources for a particular aspiration to be realised. (4) To project the desired future image (and attract public or private research funding), scientists and universities will often, alongside more objective academic articles, make press releases and conduct media interviews that highlight the benefits and novelty of their research. The media in turn respond to broad public interest in science and technology by reporting on new discoveries. But while this reporting is usually factually accurate, it tends to be uncritical of scientific claims, focusing on the positive or novel aspects of the products of research while neglecting the limitations. (5) Although hype can be a very effective means of achieving these near term objectives, it can also be counterproductive in the long run. If we look at the case of GM crops and foods, for example, we see a set of technologies that were promised to be revolutionary (but safe), and that would quickly lead to enormous social, economic and environmental benefits. Governments (and industry) in the United States, Argentina, Canada and China have invested significant public monies in GM technologies (and implemented supportive agricultural and intellectual property rules) in the hope that these technologies will provide a competitive advantage for their large and heavily subsidized agricultural sectors. However, as with many other biotechnologies, such as gene therapy or pharmacogenetics, the promises have largely proven premature, the hype unsubstantiated, and for the most part the general public has yet to see any tangible benefits. (6) It should not then be surprising that many people are becoming sceptical of (and militant about challenging) the positive claims made by governments and industry about the safety and utility of GM foods and other biotechnologies. A culture of hype can also lead to weaker market conditions and skittish investors. As we saw in the late 1990s, the inability of most small biotechnology companies to make good on promises and translate intellectual property into marketable products led many venture capitalists to back away from this sector. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,688
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,004
Tête enseignante GPT0,157
Écart entre enseignants0,153 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle