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Record W1932733621 · doi:10.29173/cjs7450

Gøsta Esping-Andersen, Incomplete Revolution: Adapting Welfare States to Women’s New Roles

2010· article· en· W1932733621 on OpenAlexaffvenue
Susan A. McDaniel

Bibliographic record

VenueThe Canadian Journal of Sociology · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsSociologyWelfareWelfare stateGender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

S ome years ago, Gøsta Esping-Andersen vowed to dedicate himself to anything but the welfare state.Luckily for sociologists and others interested in the changes and challenges of welfare states, he reneged on that vow.The principal argument of this book, which is certain to be as enticing as it is controversial, is that the thus far incomplete revolution in women's roles is provoking serious disequilibria in societies.Arguing that the term "revolution" is appropriate to describe women's changed and changing roles, Esping-Andersen claims that well-established ways of being and doing have been turned upside-down.He argues that the women's revolution, incomplete as it is, may be the harbinger of new inequalities and possibly even deeper socioeconomic polarization.If this is so, then families and markets, in and of themselves, simply cannot manage.Hence, the need for, and reinvigorated interest in, the welfare state as the only social institution with the requisite capability.Why is this an "incomplete revolution" in women's roles?Esping-Andersen explains that he chose that title to stress two things: the movement from one equilibrium to another, and the "sub-optimal outcomes" apparent in the incomplete transition, including very low fertility levels, and more polarization in family incomes and parental investments in children due to marital homogamy and unequal societal distribution of gender equality.This last point is crucial to the book's argument.If the dual-career norm is limited to, or more prevalent among, those at the top of the social pyramid, then the benefits of two incomes accrue to those couples whose marriages tend, on average, to be more stable (he argues), and who can afford to invest more in their children, as well as to save and plan for their own later years.Esping-Andersen takes a life course perspective from the outset, making the strong case that life cycle stages must be seen as connected.He goes so far as to claim that pension reform begins with babies, while blushing at his venture into what he calls political sloganeering.That said, the life course perspective is key to the extent that widening in-

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.017
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.011
Scholarly communication0.0060.008
Open science0.0010.003
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0020.001

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 head0.034
GPT teacher head0.310
Teacher spread0.276 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations4
Published2010
Admission routes2
Has abstractyes

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