The COVID-19 pandemic has thrown the SDGs into reverse: The financial sector can play its part in the recovery by excluding tobacco
Notice bibliographique
Résumé
The United Nations has warned that the COVID-19 pandemic threatens to reverse decades of progress on poverty reduction, inequality, hunger, health, and education.It has described the pandemic as the worst human and economic crisis of our lifetime with the result that the UN's 17 Sustainable Development Goals (SDGs) are now even further out of reach 1 .It has called for 'political leadership, solidarity and unity' to overcome the crisis, and has expressly called on the private sector and financial institutions to ensure that every investment decision they make supports an inclusive and sustainable recovery and takes into account Social, Environmental and Governance (ESG) factors 2 .While the focus is often on the tobacco control measures that governments should and must take, the financial sector must also play its part to support a new type of economy -one which protects both people and the planet, and advances the SDGs. How tobacco negatively impacts the SDGsTobacco production and consumption are incompatible with the achievement of the SDGs.Indeed, our work at Tobacco Free Portfolios shows that tobacco negatively impacts 14 of the 17 SDGs 3 .Tobacco kills an estimated 8 million people per year and is the single largest cause of preventable death worldwide, limiting progress on SDG 3 on health and wellbeing.It also kills or disables people in their prime productive years, negatively affecting SDG 8 on economic growth.In some low-income countries like Malawi and Zambia, tobacco -a crop which has no nutritional value -has displaced food crops, leading to increased food insecurity (affecting SDG 2 on zero hunger).In many of those same countries, children are forced to work in tobacco fields, limiting their educational opportunities and life chances (SDG 4 on education).We also see that tobacco consumption worsens inequalities both between and within countries since smoking is more prevalent in developing countries (where public health systems are less able to cope) as well as within disadvantaged communities in all countries (SDG 10 on reduced inequalities).Tobacco production also leads to biodiversity loss, land pollution, soil degradation and deforestation, all of which reduce progress towards SDG 13 on climate action and SDG 15 on life on land.Meanwhile, an estimated 4.5 trillion cigarette filters are discarded every year, many of which end up in oceans and beaches, negatively impacting SDG 14 (life under water).The list goes on.Tobacco is therefore simultaneously a public health issue, an equality issue, a human rights issue, an international development issue, an environmental issue and a climate change issue.The financial sector has meanwhile made laudable commitments to support
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 | 0,003 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,004 |
| Communication savante | 0,007 | 0,006 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,004 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,026 | 0,005 |
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 ».