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Record W2235536402 · doi:10.1017/s0714980815000549

No Place Like Home? Surveillance and What Home Means in Old Age

2016· article· fr· W2235536402 on OpenAlexafffund
W. Ben Mortenson, Andrew Sixsmith, Robert Beringer

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2016
Typearticle
Languagefr
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsSimon Fraser UniversityInternational Collaboration On Repair DiscoveriesGF Strong Rehabilitation CentreUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

RÉSUMÉ Les technologies de surveillance nouvelles, telles que celles inclus dans le logement avec assistance ambiante—les capteurs environnementaux portés sur le corps, les interfaces intelligentes, et les réseaux de communication—sont en cours d'élaboration afin d'améliorer la sécurité et la sûreté des personnes âgées qui sont à risque, mais des questions éthiques ont été soulevées quant à dans quelle mesure ils compromettraient les droits et la vie privée des personnes à surveiller. L'étude qualitative que nous avons mené a été conçu pour nous aider à comprendre les façons dont ces technologies de surveillance nouvelles seraient influencer les expériences quotidiennes des individus de leur maison. Les participants ont estimé que de nouvelles formes de surveillance auraient une influence sur leur sentiment de sécurité, de l'autonomie et de la confiance en soi, et modifieraient leurs perceptions chez soi. Les résultats soulignent la nécessité d'améliorer notre compréhension de la façon dont le logement assisté ambiant affectera la vie des personnes à surveiller.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.255
Teacher spread0.241 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations77
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicGeriatric Care and Nursing HomesFrench-language works237,207