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Record W4306769523 · doi:10.1080/15350770.2022.2136815

Becoming a Grandparent in the Internet Age: An Integrative Model of Intergenerational Relationships within the Family and Grandparents’ Satisfaction with Life

2022· article· en· W4306769523 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

VenueJournal of Intergenerational Relationships · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsGrandparentGrandchildPsychologyFace (sociological concept)ICTSDevelopmental psychologyThe InternetSocial psychologyInformation and Communications TechnologySociologyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Becoming a grandparent is a significant transition to an important life role. Yet little is known about the diverse ways that grandparents interact with their young grandchildren, and how contact via new forms of communication might contribute to building and solidifying these relationships. The main objective of this study was to explore how grandparents use different forms of interaction, including information and communication technologies (ICTs), to interact with their grandchildren in the early years of the grandparental relationship. Results suggest that ICTs could play a role in supporting grandparent-grandchild relationship quality, acting as a complement to face-to-face contact.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.404
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
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 head0.074
GPT teacher head0.299
Teacher spread0.226 · 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