MétaCan
Menu
Back to cohort
Record W2109088623 · doi:10.1145/1753846.1753893

Thanatosensitively designed technologies for bereavement support

2010· article· en· W2109088623 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAcknowledgementProcess (computing)PopulationPsychologyComputer scienceInternet privacyComputer securityMedicine

Abstract

fetched live from OpenAlex

Computing supports a number of activities across the lifespan, from interactive games for children to smart homes for seniors. However, one part of the lifespan which is often overlooked by application designers is the end of life - a period marked by issues of mortality, dying, and death. My thesis takes up this area as its object of study, and does so specifically by examining the bereaved as a target population. I argue that most modern technologies are not designed with proper acknowledgement of the eventual death of their users, and that this oversight results in a series of circumstances which complicate affairs for bereaved family members. Based on evidence from a survey and interview study, I identify opportunities for technology designers to support bereavement activities through a process called "thanatosensitive design." My thesis seeks to contribute methodological insights for designing for the end of the lifespan, a novel system which connects bereaved individuals together, and account of how this system mediates social support.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.735
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
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 head0.019
GPT teacher head0.283
Teacher spread0.264 · 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

Quick stats

Citations16
Published2010
Admission routes1
Has abstractyes

Explore more

Same topicInnovative Human-Technology InteractionFrench-language works237,207