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Record W3156461813 · doi:10.1177/10541373211006882

Beyond the Corporatization of Death Systems: Towards Green Death Practices

2021· article· en· W3156461813 on OpenAlexafffund
Mark Shelvock, Elizabeth Anne Kinsella, Darcy L. Harris

Bibliographic record

VenueIllness Crisis & Loss · 2021
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsThe King's UniversityMcGill University Health CentreWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCorporatizationScholarshipEnvironmental ethicsLiberian dollarSociologyPolitical scienceEconomic growthDevelopment economicsBusinessLawEconomics

Abstract

fetched live from OpenAlex

One less explored area of research concerns the response to the ecological crisis through environmentally sustainable death practices, which we broadly define in this paper as 'green death practices'. In this paper, interdisciplinary research and scholarship are utilized to critically analyze death practices, and to demonstrate how contemporary Westernized death practices such as embalming, traditional burial, and cremation can have harmful environmental and public health implications. This paper also investigates the multi-billion-dollar funeral industry, and how death systems which place economic growth over human wellbeing can be socially exploitative, oppressive, and marginalizing towards recently bereaved persons and the environment. Death-care as corporatized care is explicitly questioned, and the paper provides a new social vision for death systems in industrialized Western societies. Ultimately, the paper advocates for how green death practices may offer new pathways for honoring our relationships to the planet, other human beings, and even our own deepest values.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.367
Teacher spread0.312 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2021
Admission routes2
Has abstractyes

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