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Record W1984943493 · doi:10.1017/s0144686x10000991

Rethinking theoretical and methodological issues in intergenerational family relations research

2011· article· en· W1984943493 on OpenAlexfundno aff
Ariela Lowenstein, Ruth Katz, Simon Biggs

Bibliographic record

VenueAgeing and Society · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
FundersIsrael Science FoundationUniversity of Toronto
KeywordsSociologySocial capitalEmpathyTransition (genetics)Welfare stateDimension (graph theory)Social psychologyPsychologyPoliticsPolitical scienceSocial science

Abstract

fetched live from OpenAlex

ABSTRACT This paper introduces some key theoretical and methodological developments in the study of intergenerational family relations. It draws on observations that a number of social issues are emerging that have an intergenerational dimension, that there is growing recognition that to study adult ageing one has also to study intergenerational relationships, and that a new architecture for social relations is beginning to take shape in the wake of demographic change. How individuals, families and societies cope with such changes provokes the question of how gerontologically-informed research, theorisation and policy will also adapt. Seven positions are summarised which attempt two things. First, to map out some new conceptual directions for intergenerational research through a critical use of concepts such as transition, generational self-awareness and empathy, metaphors of cultural translation, and the deployment of social and moral capital. Second, to examine changing gender roles, the balance between family and welfare-state support frameworks, ethnicity and immigration as important elements of this process. A critical review of approaches to intergenerational relationships hopefully emerges.

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)0.004
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.160
GPT teacher head0.410
Teacher spread0.250 · 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 designTheoretical or conceptual
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

Citations22
Published2011
Admission routes1
Has abstractyes

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