MétaCan
Menu
Back to cohort
Record W1488511402

Being with Dying: Cultivating Compassion and Fearlessness in the Presence of Death

2008· book· en· W1488511402 on OpenAlexaboutno aff
Joan Halifax, Ira Byock

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsCompassionDivinityReading (process)ArtCenter (category theory)PsychoanalysisTheologyArt historyPsychologyPhilosophyLawPolitical scienceChemistry
DOInot available

Abstract

fetched live from OpenAlex

Zen teacher Joan Halifax has been helping both the dying and their caregivers to face death with courage and compassion for three decades. Here, Joan offers the fruits of her work, providing comfort, inspiration, and practical skills for all those who are in the process of dying or who are charged with a dying person's care. Her teaching, based on Buddhist principles, emphasizes that we have the ability to open up to and rely on our inner strength, and we can help others who are suffering to do the same. Joan offers stories from her personal experience as well as guided exercises and contemplations to help readers meditate on death without fear, develop a commitment to helping others, and transform suffering and resistance into courage.--From publisher description.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.008
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.050
GPT teacher head0.339
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations95
Published2008
Admission routes1
Has abstractyes

Explore more

Same topicGrief, Bereavement, and Mental HealthFrench-language works237,207