Notice bibliographique
Résumé
Our commentary is based on facts supported by the evidence cited, not on “innuendo and guilt by association” or “ad hominem attack.” The individuals and organizations mentioned are merely representative of the web of front groups and alliances created by the tobacco industry in its continuing attempts to dismiss the overwhelming scientific evidence linking secondhand smoke with death and disease. ILSI's current membership roster lists Kraft Foods Inc, a division of Philip Morris Companies Inc, and Japan Tobacco Food Division. Past links, both direct and indirect, exist between ILSI and the tobacco companies and their affiliates. Tobacco companies often use their food subsidiaries to gain access and leverage in areas that are essential to the cigarette business. Several of ILSI's activities, such as those involved with pesticide residues, risk assessment, and toxicology, have a bearing on tobacco companies' business interests. With ILSI's knowledge, and sometimes through ILSI's initiative, the tobacco industry participated in some of these activities directly and through membership in committees or indirectly, through its food businesses, in what appears to have been a mutually beneficial exchange (see, for example, Shatenstein,1 Malaspina,2 Borelli,3 and ILSI4; complete reference list available on request). The World Health Organization (WHO) has implemented strict conflict-of-interest policies and requires full disclosure of financial links for all collaborative and contractual work. ILSI has been formally informed by WHO of these policies. WHO requires that ILSI respect a basic requirement in relation to real and perceived conflicts of interest: to have a firewall between commercial interests (of which ILSI has many, particularly with respect to food interests) and WHO's normative and guideline-setting roles. This requirement has recently led WHO to circumscribe how it will interact with ILSI in relation to food, nutrition, and other areas. (Since publication of the original article, WHO has discussed with ILSI issues related to perceived conflict of interest and believes that ILSI has taken positive steps to address the concerns raised.) We were surprised by the Journal's decision to publish a letter from the president of FORCES Canada. Although we acknowledge that our reference 40 was incorrect (it should have been http://www.junkscience.com/feb01/perske.htm), the letter has no scientific merit. Letters to the editor are a well-known tobacco industry strategy to disseminate misinformation in the peer-reviewed, indexed literature.5 As stated in a Philip Morris strategic plan, “[C]ommunicating with and mobilizing smokers is a key element in achieving our sociopolitical objectives.”6 The creation and support of smokers' rights groups is yet another well-known tobacco industry strategy to promote its political and public relations agenda.7,8 FORCES claims to be a smokers' rights organization with no financial ties to the tobacco industry. It is possible that it chooses to convey the tobacco industry's propaganda for free. However, FORCES uses, in its anti-health campaign, arguments and studies created and funded by the tobacco companies, listing these “studies” and “researchers” as independent when they are neither independent nor, often, bona fide academic researchers.9,10 In addition, FORCES lists tobacco industry–supported smokers' groups, such as the American Smokers' Alliance, among its past and current affiliates.11,12 Recently, FORCES merged with Californians for Smokers' Rights, sharing a post office box and an Internet address.13,14 Californians for Smokers' Rights is a group with long-standing and well-known links to the tobacco industry.15,16 The tobacco industry is hardly the only interest group to attack science-based policymaking to protect its profits.17 However, this industry has a long history of using these tactics at the cost of public health. With respect to passive smoking, this is not a matter of a healthy, honest, science-based disagreement. Rather, it is a continuation of a tobacco industry campaign of deception.
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.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,072 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,009 | 0,008 |
| Communication savante | 0,008 | 0,009 |
| Science ouverte | 0,004 | 0,008 |
| Intégrité de la recherche | 0,033 | 0,044 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,059 | 0,033 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».