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Enregistrement W7113661654

The Environmental Impact of the Lands of the Dead: A Comparative Analysis

2023· article· en· W7113661654 sur OpenAlexaboutno aff

Notice bibliographique

RevueDigital Access to Scholarship at Harvard (DASH) (Harvard University) · 2023
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueForensic Entomology and Diptera Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIndigenousQuadratNatural (archaeology)FaunaNatural resourceEcosystem
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In the past 150 years, the American approach to death care has changed drastically. Using practices that I refer to as "modern traditional death care," a new industry has arisen that has normalized burial practices that once were reserved for very wealthy individuals. Today, average decedents undergo elaborate preparation processes meant to preserve them far beyond their final viewing. However, these practices may cause significant environmental damage by pollution of the soil, planting of monocultures, and stripping burial sites of indigenous flora and fauna (Loki et al., 2019). In response to the alarm raised by these methodologies, a competing practice called “natural death care” has arisen. Operating under a set of standards established by the Green Burial Council, the natural death care industry inters unembalmed corpses encased in biodegradable shrouds or coffins at a depth that facilitates their rapid decomposition (Webster, 2016). The natural death care industry’s claim that its practices promote healthier ecologies seems intuitively plausible, but it is largely untested. My thesis research collected and analyzed data that examined these claims. During the summer of 2022, I traveled across the eastern United States from mid- Florida to near the Canadian border in New York State to visit paired sets of 20 modern traditional and 20 natural burial sites of similar size, located in the same zip code if possible, and if not in close geographical proximity. I collected six soil samples from each site, which I amalgamated and tested for bulk density and organic matter. I also used a quadrat placed at predetermined intervals to collect 18 floral biodiversity samples from each site, both photographing and filming the study areas in order to record the sampled flora for quantification. In addition to field work, I used satellite data to assess and to compare the paired burial sites. These methodologies were intended to test my hypotheses that natural burial sites would demonstrate greater verdancy, higher plant diversity, more invasive floral species, a higher percentage of soil organic matter, and lower soil bulk density when compared to their modern traditional counterparts. The data collected during the course of this study was insufficient to be authoritative, but it does tend to substantiate the claim that the practices of the natural death care industry are generally better for the environment than those of the modern traditional alternative. Conversely, the modern traditional burial sites I studied did not seem to pose the level of unmitigated threat to their proximate environments that their detractors suspect. For example, while biodiversity was very high at natural sites, so was the incursion of invasive species. Modern traditional sites, while less diverse, still showed a reasonable parameter range, and with better control of invasive species. NDVI was generally higher at natural sites, but not at all times of the year. Soil carbon analyses of differences between sites was inconclusive. This research should be useful to individuals wishing to make ecologically responsible choices regarding their own remains or those of loved ones, to future researchers wishing further to explore these topics, and to policy makers weighing the relative costs and benefits of these burial paradigms as they plan future developments.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,026
Score d'incertitude au seuil0,594

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0000,002
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0010,002
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,032
Tête enseignante GPT0,255
Écart entre enseignants0,223 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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