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Record W4380872523 · doi:10.1111/famp.12906

The third shift: Addressing emotion work in couple therapy

2023· article· en· W4380872523 on OpenAlexafffund
Olga Smoliak, Khaldeiah Al‐Ali, Amanda LeCouteur, Eleftheria Tseliou, Carla Rice, Andrea LaMarre, Adam Davies, Bianca Uguccioni, Lainey Stirling, Brody Dechamplain, Sarah Henshaw

Bibliographic record

VenueFamily Process · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsUniversity of Guelph
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsEmotion workRealmPsychologyEmotional laborSubordination (linguistics)Work (physics)PoliticsSocial psychologyInterpersonal relationshipSociologyGender studiesPolitical science

Abstract

fetched live from OpenAlex

Research on the gendered division of household work in western political economies often neglects its emotional dimensions. This conceptual paper draws on concepts of emotion work and feminist care ethics to explore gendered and intersecting divisions of emotions and emotional work in couple relationships and their implications for couple therapy. Although emotion work has been studied in workplace settings, less attention has been paid to inequalities in the privatized realm of interpersonal relationships, including romantic and filial ones. Women and feminine partners' culturally presumed expertise in emotions typically positions them as carrying primary responsibility for managing emotions in intimate relationships. Couple therapy is an important site of interaction that can both support and, potentially, disrupt the invisibility and gendering of emotion work in intimate relationships, thus shedding light on recurring patterns of women's subordination and exploitation. We conclude by advancing suggestions for addressing gendered and intersectional dimensions of emotion work in therapy 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)0.010
metaresearch head score (Gemma)0.007
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 score0.014
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0080.032
Scholarly communication0.0140.011
Open science0.0020.012
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0050.001

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 head0.104
GPT teacher head0.398
Teacher spread0.293 · 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

Citations5
Published2023
Admission routes2
Has abstractyes

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