Climate Crisis in the Shadows : Rethinking Our Relationships with Nocturnal Kin
Notice bibliographique
Résumé
For many people the impacts of climate change are subject to a high degree of speciesism, with the wider nonhuman suffering remaining largely unseen in public consciousness. This is arguably even more profound when we think about climate change and its impacts after dark (Cox et al. 2020). When we consider our relationships with other species, we typically bring to mind our daytime experiences and, thus, the nonhumans that we might encounter or anticipate being active. However, the vast majority of nonhumans are crepuscular or nocturnal, going about their lives out of sight and out of mind of most people. This paper, therefore, seeks to address this gap in knowledge and understanding by questioning our relationships with nonhuman life after dark. Specifically, we seek to embrace one of the most misunderstood nocturnal creatures, the rat. Rats are taboo, they are mythical creatures that transgress the boundaries of our real world and the imaginary. Of particular concern for us is how quickly they are being impacted by the climate crisis. One way to shift the attention to the nonhuman, such as rats, is to consider what is currently being lost, and to view our ecological state as the sixth mass extinction (Morton 2021). Specifically, in 2016, a rat-like creature Bramble Cay Melomys, was the first mammal recorded to become extinct as a result of anthropogenic climate change (Panagiotarakou 2020). Although rats are often depicted as our near neighbours, they are seldom perceived as kin. Rats are “animals that disgust us” (Jerolmack 2008), and conjure forth notions of danger and disease. What’s worse, there are ways in which rats are not even considered animals, as they are excluded from the Animal Welfare Act and thus lack any legal protection in the US (Smith 2002). Our project suggests that if we can establish kinship with rats, then barriers to wider nocturnal multispecies companionship could be profoundly unlocked. This emerging practice-based project develops speculative-performative interventions for and with real and imaginary rats. The authors will create scenes of “fictional activism” (Williams Gamaker 2021), drawing from the Medieval legend of the Pied Piper of Hamelin. The legend is considered a multi-layered and early version of nonhuman displacement engineered by humans, and stigmatizing another species. These site-specific interventions, accompanied by customarily composed science-fiction pipe songs and poems, integrate climate science evidence from the rats’ perspective as predictions of their past, present, and future trouble. The songs are, on the one hand, composed to expand the rats’ intellectual capacities, and hence their chances of survival. Namely, controversial test results suggest improved maze learning after exposing rats to music, also known as the Mozart effect (Rauscher et al. 1998, Steele 2003). On the other hand, the songs and poems aim to decolonize human attention from consumerism (Halifax 2021) and human-centricism, and to rewild our hearts to develop multispecies compassion (Bekoff 2014). The project thus aims to change the perception of rats as a public health hazard and (black) “death”, into creative but endangered species capable of experiencing suffering.
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 | 0,005 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,015 | 0,013 |
| Communication savante | 0,007 | 0,011 |
| Science ouverte | 0,002 | 0,007 |
| Intégrité de la recherche | 0,002 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».