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Record W4291004511 · doi:10.1111/famp.12804

Gendering of care and care inequalities in couple therapy

2022· article· en· W4291004511 on OpenAlexafffund
Olga Smoliak, Carla Rice, Andrea LaMarre, Eleftheria Tseliou, Amanda LeCouteur, Adam Davies

Bibliographic record

VenueFamily Process · 2022
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Guelph
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsReciprocity (cultural anthropology)RomancePremiseInequalityHuman sexualityIdeologyPsychologyReciprocalGender studiesPower (physics)Social psychologySociologyDevelopmental psychologyPolitical sciencePsychoanalysisPoliticsEpistemology

Abstract

fetched live from OpenAlex

Reciprocal partner or spousal caregiving in romantic relationships has been identified as a key determinant of the quality of couple relationships. In this article, we interrogate this premise concerning the presumed reciprocity of caregiving in romantic relationships, focusing on cisgender heterosexual relationships and offering implications for relationships of all genders and sexualities. Looking beyond the conventional focus on individual or dyadic processes, we theorize imbalances in care as gendered. Feminists have repeatedly critiqued gender ideology that devalues caring labor and allocates it to women. Gendered power dynamics can lead to imbalances in care-seeking and care provision. We discuss how the gendering of care and care inequalities can manifest in couple therapy, illustrating with examples from recorded interactions. Implications for therapy practice are discussed.

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)0.005
metaresearch head score (Gemma)0.008
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.012
Scholarly communication0.0040.002
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.389
Teacher spread0.333 · 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

Citations3
Published2022
Admission routes2
Has abstractyes

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