Compliance With Higher Education-Related Tobacco Control Law Provisions by Institutions of National Importance in India
Notice bibliographique
Résumé
Introduction India formulated an anti-tobacco and anti-smoking law in 2003 in response to its resolutions in the United Nations' bodies. This law has been detailed subsequently to make it focussed on educational institutions, which are supposed to perform on-ground action in a decentralized manner. The first step is to put up signboards prohibiting the sale of cigarettes and tobacco products within 100 yards, the second is prohibiting smoking within the campus, and the third is implementing the law related to collecting fines from the offenders as well as the presence of vendors within 100 yards. Additional information on awareness activities was also sought. The focus of this paper is on India's premier educational institutions called the "Institutions of National Importance" by the Indian legislature. These are India's premier public institutions which have the maximum focus of the Indian government by making them of high quality, and non-compliance with the tobacco control law in these institutions should be taken seriously. Methods The paper checked for compliance with the Indian Tobacco Control Law in 79 of these Institutions of National Importance. The requirement for information to be collected from institutions was first derived from the legal act and the rules. Then, the Right to Information Act of 2005, India's transparency law, was used to file applications for information, and certified information from the institutions was collected and reported. Results Only 39.2% of the institutions had the requisite boards prohibiting sales within 100 yards of the institutions. The requirement of having boards prohibiting smoking fared a little better at 73.4% of institutions complying but was not universal. A total of 43% of institutions denied the information pertaining to the collection of fines, either by not providing a requisite reply or stating that this was not part of the record. The information regarding the presence of vendors was not universally supplied with 65.8% of institutions stating the same to not in record or not within the purview. With respect to the awareness activities though, 72.2% of the institutions stated to have some awareness activity for tobacco control and cessation. Conclusion The results show an overall weak compliance with the law. India's health regulators and educational watchdogs must implement anti-smoking and anti-tobacco laws strictly in Indian educational institutions as this is where young people are found. Something as simple as the installation of signboards by educational institutions cannot be overlooked by them. The law must become stricter with deterrence. This must be most intense in the Institutions of National Importance which form the premier institutions in India and become the role model for other institutions in India.
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 distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».