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Record W4229632188 · doi:10.12765/cpos-2013-18

Fertility, Family Policy and Welfare Regimes

2013· article· en· W4229632188 on OpenAlexaboutno aff
Elina Schleutker

Bibliographic record

VenueComparative Population Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWelfareArgument (complex analysis)FertilityWelfare stateWork (physics)EconomicsPositive economicsSociologyPolitical sciencePopulationLawMedicine

Abstract

fetched live from OpenAlex

This paper is inspired by the many similarities between gendered welfare state research and demographic research on the determinants of fertility. The first part of the paper discusses some of the theories on childbearing in the light of the gendered welfare state theory. One important similarity between these two genres is that when work-life choices are studied, the emphasis is on policies which enable women to reconcile employment and family. Support for informal care is accordingly treated as having a negative influence on work-life compatibility, and women are moreover assumed to have homogeneous preferences, i.e., they are supposed to want to combine work and family. However, such an approach does not pay sufficient attention to informal care and to heterogeneity among women, either when it comes to preferences or to behaviour. To address these gaps, in the second part of the paper a new framework to analyse women’s work-life choices is developed. The suggested framework gives considerable attention to the way in which formal as well as informal care is supported or enforced in different welfare states and the consequences such support has on women’s decision making. Moreover, heterogeneity among women is emphasised, both in preferences and when it comes to behaviour. The central argument is that women’s heterogeneous preferences transform differently to different lifestyle career strategies (with regard to employment and childbearing) in different welfare state settings, as each lifestyle strategy is encouraged or discouraged by family policy to differing degrees. Hence, the number of women who choose a particular strategy, as well as the level of fertility, varies between the welfare states. In addition, household resources are assumed to influence the choices that are being made. The argument that is put forward is illustrated with recent data on family policy, women’s employment patterns and fertility in the social-democratic (Denmark, Finland, Norway, Sweden), conservative (Austria, Belgium, France, Germany, Greece, Italy, the Netherlands, Portugal, Spain) and liberal welfare states (Australia, Canada, Ireland, the UK, the USA). Moreover, a reinterpretation of the findings on the relationship between family policy, female employment and fertility is provided in the light of the framework outlined.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.199
GPT teacher head0.463
Teacher spread0.264 · 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 designObservational
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

Citations7
Published2013
Admission routes1
Has abstractyes

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