Bibliographic record
Abstract
This paper presents reflections on the author's death aspirations as they are informed by a set of earth-connection stories, environmental concepts, and modernist burial practices. This weave is meant to inspire further consideration on what is coming to be known as ‘green burial’. More precisely, this means an exploration of the author's earth-centred burial musings in association with the following themes: the meanings and historical trajectory of prevailing death and burial practices; ‘narratives’ of the human–earth life-cycle; relevant environmental ethics and place literature concepts; and lastly, some sense of the newly emerging practices and appeals to green burial—i.e. the normative and practical grounds for rethinking and working toward more environmentally sensitive burial practices. This weave of themes is instructive for posing green burial as evocative of a more comprehensive and spiritual ethos of connection, continuity, and responsibility. In this sense, rather than being seen as contrary or contentious, green burial may actually enable us to dispel some of the growing angst, uncertainty, and insensitivity often underlying prevailing burial practices, while contributing to an emerging environmental consciousness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.022 | 0.033 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.004 | 0.013 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".