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Record W1973322465 · doi:10.1177/1077800408322229

An Ethnography of Everyday Caring for the Living, the Dying, and the Dead

2008· article· en· W1973322465 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueQualitative Inquiry · 2008
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of TorontoSt. Francis Xavier University
Fundersnot available
KeywordsEthnographySociologyEveryday lifeContext (archaeology)Dominance (genetics)Organ donationIntervention (counseling)Field (mathematics)Engineering ethicsAestheticsEpistemologyMedicineTransplantationAnthropologyHistoryNursingEngineeringArt

Abstract

fetched live from OpenAlex

Technology has become synonymous with medical intervention, particularly in hospital settings in the Western world. Much money is spent on the invention, design, and implementation of biomedical technologies. Yet there is little analysis of how the implementation of these technologies unfolds in an everyday or every night context. This article illustrates how ethnographic practices may be used to study everyday caring for the living, the dying, and the dead for organ donation. The description of the social organization of technological practices includes the first author's stories and field reflections and the stories of participants in interviews and conversations in the field. Using ethnographic practice as a reference point, a biomedical technographic approach to illuminate the human—technology relationship in a world of techno-intervention is described. Emphasis is placed on the urgent need for development of a biomedical technography and for social change to address biomedical dominance.

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.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.202
GPT teacher head0.475
Teacher spread0.273 · 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