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Record W2160974946 · doi:10.1177/1049732314540339

The Coconstruction of Couples’ Roles in Parenting Children With a Chronic Health Condition

2014· article· en· W2160974946 on OpenAlexaffabout
Ted McNeill, David Nicholas, John Beaton, G.W.G. Montgomery, Radha MacCulloch, Robin E. Gearing, Enid K. Selkirk

Bibliographic record

VenueQualitative Health Research · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsMcMaster UniversityUniversity of CalgaryMcGill UniversityHolland Bloorview Kids Rehabilitation HospitalUniversity of GuelphUniversity of Toronto
Fundersnot available
KeywordsComplementarity (molecular biology)PsychologyNegotiationDevelopmental psychologyQualitative researchGrounded theoryInterpersonal communicationDiversity (politics)DyadSocial psychologyFocus groupSociology

Abstract

fetched live from OpenAlex

In this study we explored the ways that mothers and fathers of children who have a chronic health condition coconstructed their parenting roles. We wanted to move beyond the standard focus on individual parenting behaviors and use a grounded theory approach to better capture the dyadic and interpersonal gestalt of how parents worked out their roles. We explored multiple factors that influenced their decision making and the unique models that each couple developed. We held conjoint qualitative interviews with 20 couples from the Toronto area, as well as follow-up interviews with individual partners in five of these couples. Our findings introduce several concepts (such as role negotiation, complementarity and symmetry of roles, and "good enough" role performance) that form an explanatory model. A key finding is the diversity of ways in which couples adapted to the parenting challenges they faced. Implications in conceptual, clinical, and research areas are presented.

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)0.037
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0370.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
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 head0.172
GPT teacher head0.543
Teacher spread0.371 · 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.

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

Citations16
Published2014
Admission routes2
Has abstractyes

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