MétaCan
Menu
Back to cohort
Record W2467442858 · doi:10.1353/cja.2006.0039

David C. Burdick and Sunkyo Kwon (Eds.). Gerontechnology: Research and Practice in Technology and Aging. New York: Springer, 2004.

2006· article· fr· W2467442858 on OpenAlexaff
Elsa Marziali

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2006
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

RÉSUMÉ Ce livre est essentiel pour quiconque s'intéresse à l'impact des technologies sur la qualité de vie des personnes âgées. Partant d'un introduction qui illustre clairement que la société dans son ensemble est de plus en plus immergée dans la communication et la transmission d'informations digitales, les chapitres suivants fournissent des données et analyses de l'interface qui existe entre le déclin lié à l'âge et l'acce`s aux technologies spécifiques telles que les ordinateurs, les appareils d'aide fonctionnelle, le monitorage à la maison et les syste`mes interactifs de voix/vidéo sur réseau IP. Le rôle que joue la technologie dans la vie des personnes âgées est bien décrit sur les plans empirique et pratique. De plus, la plupart des chapitres centrent leur attention sur les défis que constitue la conception d'interfaces techniques qui visent spécifiquement les changements visuels, moteurs et cognitifs liés à l'âge. De toute évidence, cet ouvrage peut amener les fournisseurs de services à mieux cerner les différentes façons dont les technologies sont susceptibles d'améliorer et de remodeler la vie d'une société vieillissante.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.005
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 head0.038
GPT teacher head0.335
Teacher spread0.297 · 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

Citations10
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicAging, Elder Care, and Social IssuesFrench-language works237,207