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Record W1576580366

SOCIAL AND EMOTIONAL IMPACTS OF INTERNET USE ON OLDER ADULTS

2015· article· en· W1576580366 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

VenueEuropean Scientific Journal ESJ · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology Use by Older Adults
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsLonelinessBelongingnessPsychologySocial engagementSocial capitalSocial isolationGerontologyThe InternetMental healthSocial supportFeelingSocial network (sociolinguistics)UCLA Loneliness ScaleMultilevel modelSocial mediaSocial psychologyDevelopmental psychologySociologyMedicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

The Internet has become a means by which older adults can maintain offline relationships with family and friends, and develop new social networks. Social engagement plays a important role in later life. Staying socially active can help older adults maintain physical and cognitive health. Social capital is also important for older adults‘ mental health and wellbeing. This study examined whether older adults’ online social activities are associated with some social and emotional factors. A total of 82 participants were recruited from two community seniors’ centres in Canada. The results of a series of hierarchical regression analyses indicated that older adults’ online social activities were positively related to bridging social capital, belongingness and self-esteem, and negatively associated with the feeling of loneliness. The result of a canonical correlation analysis revealed that meeting new people online and great amount of Internet use is predictive of online bridging social capital.

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)0.001
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 score0.553
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.056
GPT teacher head0.312
Teacher spread0.256 · 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