MétaCan
Menu
Retour à la cohorte
Enregistrement W195741156

Bending Science: How Special Interests Corrupt Public Health Research

2008· article· en· W195741156 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevuePubMed Central · 2008
Typearticle
Langueen
DomaineMedicine
ThématiqueScience, Research, and Medicine
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHarmPublic relationsProduct (mathematics)Political scienceBusinessLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Biased reporting of science has been documented for industry-supported research on many hazardous substances, including the plasticizer bisphenol A, secondhand tobacco smoke, asbestos, and lead. Several books that have hit the stands recently (e.g., David Michaels’ Doubt Is Their Product) use case studies to document and discuss the effect this kind of bias has on public health and environmental protection. In Bending Science McGarity and Wagner discuss the methods and motivations that make this practice so pervasive. The book could be called “Idiot’s Guide to Bending Science” because its chapters neatly and logically provide a step-by-step plan for manipulating science to support a predetermined conclusion. Starting with who has an interest in the manipulation of science, the book describes how to distort science without getting caught, how to support “bent” science by attacking legitimate science and scientists, and finally how to use public relations firms and journalists to advertise and disseminate the “bent” science. In addition to “how,” the book tells us why manufacturers and other financially interested parties are motivated to manipulate science—namely, to weaken the regulation of their products and to defend themselves in litigation if harm comes from their products. A recent illustration of the impact of “bent science” on public health is evident in the Food and Drug Administration’s (FDA) draft assessment of bisphenol A issued this summer, declaring the chemical was safe as currently used. The FDA’s assessment relied on just two studies, which were funded by the American Chemistry Council (formerly the Chemical Manufacturers Association), Dow Chemical, Bayer, and other plastics manufacturers, and the agency ignored dozens of other studies done by independent scientists that reported evidence of harm. The FDA’s conclusions also conflict with two National Institutes of Health reviews and the actions of its counterpart in Canada. An example of the failure of our regulatory oversight mechanisms to provide a backstop was evident this summer when Congress was compelled to pass legislation to eliminate lead in children’s toys and to ban or temporarily suspend the use of six types of phthalates (components of plastics) in children’s products. Congress stepped in after regulatory agencies failed to take action, even though children had been widely exposed (one child died in March 2006 from lead-contaminated toys) and there was substantial scientific evidence that these chemicals were highly hazardous. Bending Science has a halting academic writing style that overly relies on secondary sources as resources. In addition, the authors argue that everyone bends science, even public health advocates; however, the few public health examples that the authors provide are relatively rare instances that do not support those sweeping conclusions. For example, a case study of plaintiffs’ lawyers artificially inflating silicosis cases fails to mention that this was a highly unusual instance for which the offending lawyers were issued sanctions for their transgressions. In fact, without trial lawyers much of the evidence that the authors rely on for this book, such as the tobacco industry documents, would have never been released for public scrutiny. This is a topic of great importance. Bending Science warns that when science becomes artificially manipulated to misrepresent the hazards of products, “serious adverse consequences for human health and the environment, as well as for the economic well-being of legitimate businesses,” may arise.

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)0,009
score de la tête « metaresearch » (Gemma)0,006
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,343
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0090,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0010,004
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
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 Opus0,385
Tête enseignante GPT0,429
Écart entre enseignants0,044 · 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