Notice bibliographique
Résumé
Access to clean drinking water is essential for survival of humanity and the earth. With the global population approaching eight billion (Population Reference Bureau, 2018), protecting the availability of clean drinking water is becoming increasingly important to sustain the growing number of people on the planet. Unfortunately, many places in the world are experiencing drinking water shortages due to overconsumption and contamination of freshwater resources (Gleeson & Richter, 2017; Richey et al., 2015). Global changes in climate are also serving to reduce even further the availability of clean water and many parts of the globe are already struggling with freshwater supply (Weber et al., 2017; Veldkamp et al., 2016). While access to clean water remains a global concern, there are select places on the planet where there appears to be a sufficient supply. Southern Ontario is one such location where there appears to be \n an abundance of freshwater. Streams, rivers, lakes, and groundwater serve as sources of drinking water, and are collectively referred to as “source water” (Emerson & Jesperson, 1998). Source water protection under the Ontario Clean Water Act, 2006 emerged after a fatal outbreak of Escherichia coli (E. coli) in 2000 into the drinking water system in Walkerton, Ontario. Following that incident, new provincial policies were implemented to protect raw drinking water at source (Ministry of the Environment and Climate Change, 2014). Ontario is experiencing the same threats to its drinking water supplies as the rest of the world; that is, contamination and overconsumption (Bruce et al., 2017; Anderson et al., 2016), in addition to the effects of climate change (McDermid et al., 2015). Contamination originates largely from industrial activities, but also from wastewater treatment plants, which do not have the ability to treat contaminants such as micro-plastics that are present in consumable products (Pivokonsky et al., 2018; Baldwin et al., 2016). Bottled water companies are permitted to withdraw more water than can be replenished by natural processes, which can deplete water resources (Bruce et al., 2017; Griswold, 2017). Additionally, reductions in government funding to provincial environmental agencies, federal contaminated sites and rapid urban expansion in the Greater Toronto Area, contaminated soil dumping in the Oak Ridges Moraine, the Canadian ‘myth of water abundance,’ water contamination on First Nations reserves, and Bill 108, all represent a threat to the sustainability and management of freshwater resources in southern Ontario. Despite the issues prevalent for freshwater resources in the world, the general consensus amongst Ontarians is that there is an abundance of clean drinking water in the province (Warren, 2016; Schindler, 2006). However, Ontarians do not understand that, without immediate changes to source water protection, southern Ontario may find itself in the same dire situation as the rest of the planet. This paper will examine the current state of the world’s freshwater resources to supply potable water, the status of southern Ontario’s freshwater resources, and the actions and policy changes that are required to protect the availability of clean drinking water to support the needs of future generations of Ontarians.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,005 |
| Études des sciences et des technologies | 0,011 | 0,002 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,001 |
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 ».