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Record W7024778207

Tension in Achieving Balance in Everyday Life: Intensive and Extensive Mothering

2012· article· en· W7024778207 on OpenAlexaboutno aff

Bibliographic record

VenueCommonKnowledge Research Repository (Pacific University Oregon) · 2012
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsHousekeepingIdeologyEveryday lifeConstruct (python library)Balance (ability)Set (abstract data type)Flexibility (engineering)Work–life balance
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: Although women’s participation in paid occupations has increased substantially, many women still devote significantly more time to housework and childcare occupations than men (Statistics Canada, 2011). The gender gap is lessening, which reflects changes in the ideology of mothering (Christopher, 2012). However, little is known about how employed mothers conceive of and experience balance among their different occupations in their everyday lives.\nOBJECTIVE: To understand the multiple ways in which women in dual-income couples with young children construct and experience balance in everyday life.\nMETHODS: Fifteen heterosexual, dual-income couples living with at least one child under six years old were recruited from a metropolitan area. Each partner in the couples participated in a set of two semi-structured individual interviews. The first interview was designed to explore overall experiences of everyday life; the second interview aimed to elicit experiences and conceptions of balance. Phenomenography and critical discourse analysis were used to analyze the data. Peer-debriefing, reflexivity, and verification of transferability were applied to ascertain the quality of the findings.\nRESULTS: Female participants’ two key constructions of balance were: managing life and participating in a mix of occupations. The former construction reinforced the women’s intensive mothering, which involved engaging in childcare and housekeeping occupations to achieve a sense of balance, and limited their freedom to engage in occupations that allowed them to rest, relax, and socialize with friends, which was associated with a sense of imbalance. The latter construction reflected an extensive mothering ideology that encouraged the women to meet their mental, physical, and social needs, which sustained their self-esteem as individuals and led them to feel balanced. However, participating in a mix of occupations might mean spending less time at home and with family, which could lead to a sense of imbalance.\nCONCLUSION: The mothers’ two key constructions of balance were underpinned by distinct and competing ideologies of mothering that impacted their freedom to choose occupations. These findings advance our understanding of balance, which will contribute to its conceptualization. It is critical for policymakers and health care professionals involved in providing support and resources to mothers and families to understand that competing constructions of balance can create conflict and that discourses used in health services and guidelines may contribute to the conflict.\nLearning Objectives: Describe women’s two key constructions of balance and identify ideologies that underpin and explain them Identify ways in which occupational science might help employed mothers who struggle with the tension between the two constructions \nDiscussion Questions Can you identify any other ideologies that underpin and explain women’s constructions of balance? Do the alternative ideologies also suggest tension between these two constructions of balance? How might occupational science help working mothers who negotiate the tension between the two constructions and achieve balance? Is balance a desirable or important state to achieve?

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)0.003
metaresearch head score (Gemma)0.004
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.001
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 head0.137
GPT teacher head0.429
Teacher spread0.292 · 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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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