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Record W3209611139 · doi:10.1177/21676968211054606

“If She’s Sad, I’m Sad Too” Emotional Closeness Between French Grandparents and Emerging Adult Grandchildren

2021· article· en· W3209611139 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

VenueEmerging Adulthood · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsGrandparentClosenessPsychologyGrandchildDevelopmental psychologyPersonalityThematic analysisSocial psychologyQualitative researchSociology

Abstract

fetched live from OpenAlex

The present study examines emotional closeness between French grandparents and their emerging adult grandchildren. The present study explores facets of the grandparent–grandchild relationship that have not been extensively investigated. It highlights the importance of the grandchildren’s relationship with their grandparents as they reach adulthood and the facets of intergenerational emotional closeness during this period of transition. Semi-structured interviews were conducted individually with 13 grandparents and their emerging adult grandchildren. Four themes were extracted from the thematic analysis of the interviews (emotional bonding; sharing identity, values, and personality; emotional worries and concerns about illness and death; adult role acquisition). The study reveals the depth of the grandparent-emerging adult–grandchild relationship, which is a source not only of love, support, and companionship in their daily life, but also of worries about the future. This study also identifies some hitherto unexplored facets that demonstrate the complexity of this relationship as grandchildren become adults.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.010
GPT teacher head0.279
Teacher spread0.270 · 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