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Record W2163418082 · doi:10.1080/11745398.2015.1063443

Understanding ambivalence in family leisure among three-generation families: ‘It's all part of the package’

2015· article· en· W2163418082 on OpenAlexaff
Shannon Hebblethwaite

Bibliographic record

VenueAnnals of Leisure Research · 2015
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsConcordia University
Fundersnot available
KeywordsAmbivalenceGrandparentFeelingFamily lifeNorm (philosophy)Social psychologyPsychologyNuclear familySociology of leisureSociologyGender studiesDevelopmental psychologySocial sciencePolitical science

Abstract

fetched live from OpenAlex

Although family leisure plays a central role in the development of close family bonds, it is not without its challenges and has been found to be both consensual and conflictual. Furthermore, family leisure researchers have neglected the voices of older adults. Building on Shaw's [1997. "Controversies and Contradictions in Family Leisure: An Analysis of Conflicting Paradigms." Journal of Leisure Research 29 (1): 98–112] call for a contradictory theory of family leisure and framed by the model of intergenerational ambivalence [Luscher, K., and Pillemer, K. 1998. "Intergenerational Ambivalence: A New Approach to the Study of Parent-child Relations in Later Life." Journal of Marriage and Family 60 (2): 413–425], the purpose of this interpretive study is to address these two significant gaps in the literature and explore how intergenerational ambivalence is experienced in family leisure in three-generation families (grandparents, parents, and adult grandchildren). Sixteen family triads were interviewed and reflected on both the benefits and challenges of family leisure. The findings provide valuable insights into the ambivalence that is experienced in family leisure across generations. The purposive nature and the generative effect of family leisure, along with the norm of non-interference help families to cope with the feelings of ambivalence that are commonly experienced in their relationships.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.806

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.691
GPT teacher head0.482
Teacher spread0.210 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations24
Published2015
Admission routes1
Has abstractyes

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