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Record W2004781804 · doi:10.4017/gt.2014.13.02.278.00

Power, ethics and normative logic related to voluntary remote monitoring used to provide independent living

2014· article· en· W2004781804 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGerontechnology · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsNormativePower (physics)Computer scienceBusinessPsychologySociologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

In recent years the field of gerontechnology has expanded rapidly, bringing about the development of new technologies to facilitate ageing-in-place [1][2][3][4] . Alongside this technological development, there is a need to consider the broader impacts of the application of this technology on the end user, to explore the role of technology as a data collection tool, and to identify the potential benefits of industry-academic collaboration in technology design. Content Contributing to each of these key themes, this symposium discusses findings emerging from gerontechnology research conducted in the USA and Canada. Structure There will be four oral presentations. Dr. Berridge will present results from qualitative research undertaken with older adults, healthcare professionals, and family members to examine the social and ethical considerations of using remote monitoring (RM) technologies, focussing on issues of self-determination, autonomy, privacy, and power. Dr. Sixsmith will present information on the development of an Experiential Sampling Methodology to capture mood, behaviorial, and contextual data among older adults living with bipolar disorder. Dr. Woolrych will discuss the use of video surveillance data to investigate falls among older adults in long-term care, demonstrating the potential of video data for generating in-depth understanding of how and why falls occur in long-term care and reflecting on video as a potential tool for education and knowledge transfer. Dr. Sterns will present findings from an ongoing industry/academic collaboration to develop innovative products and applications that support older adults to age-in-place, including a medication dispensing system and mobile application to monitor health status. Conclusion The symposium will highlight innovative themes emerging from gerontechnology research conducted in North America. This will be followed by discussion with symposium participants to identify opportunities and challenges from other regional contexts.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.029
GPT teacher head0.304
Teacher spread0.275 · 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