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Record W2065457736 · doi:10.1111/jomf.12150

Exploring Ambivalence in Family Ties: Progress and Prospects

2015· article· en· W2065457736 on OpenAlexaff
Ingrid Arnet Connidis

Bibliographic record

VenueJournal of Marriage and the Family · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsWestern University
Fundersnot available
KeywordsAmbivalenceSociologyWelfare stateSocial psychologyPsychologyPolitical science

Abstract

fetched live from OpenAlex

The 2002 exchange on ambivalence in the Journal of Marriage and Family (Vol. 64, No. 3), published under the editorship of Alexis Walker, prompted an impressive array of research on family ties, in particular intergenerational relationships. Following a discussion of the concept's theoretical underpinnings, the author argues that advancing the concept of ambivalence rests on realizing its multilevel potential by addressing the interplay of shifting contradictions experienced by individuals and in relationships and embedded in social institutions and in macro‐level arrangements and processes. She considers progress and limitations in a critical review of predominant applications of ambivalence and then investigates research that advances ambivalence as a bridging concept across multiple levels of analysis. Work on atypical family ties, dependency, contradictory cultural expectations due to migration and social change, families and the welfare state, and on climate change and disability promotes the multilevel potential of ambivalence and points to ways to advance its promise in theory and practice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.062
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.062
Threshold uncertainty score0.330

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0620.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.010
Science and technology studies0.0060.038
Scholarly communication0.0170.041
Open science0.0030.012
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0030.000

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 head0.289
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations184
Published2015
Admission routes1
Has abstractyes

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