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Record W610625337

Gendering the state in the age of globalization : women's movements and state feminism in postindustrial democracies

2007· book· en· W610625337 on OpenAlexaboutno aff
Melissa Haussman, Birgit Sauer

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsFeminismWelfare statePolitical scienceState (computer science)Neoliberalism (international relations)Political economyGender studiesSociologyLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

Chapter 1: Introduction: Women's Movements and State Restructuring in the 1990s Chapter 2: Re-evaluating the Heart of Society: Family Policy in Austria Chapter 3: Feminism and Indigenous Rights in Australia in the 1990s Chapter 4: Speedy Belgians: The New Nationality Law of 2000 and the Impact of the Women's Movement Chapter 5: New Federalism and Cracked Pillars: The Canadian Health Insurance System under the 2000 Romanow Commission and Beyond Chapter 6: Debating Day Care in Finland in the Midst of an Economic Recession and Welfare State Down-Sizing Chapter 7: Thirty-five Hour Workweek Reforms in France, 1997-2000: Strong Feminist Demands, Elite Apathy, and Disappointing Outcomes Chapter 8: Women, Embryos, and the Good Society: Gendering the Bioethics Debate in Germany Chapter 9: The Reform of the State in Italy Chapter 10: Electoral Reform in Mid-1990s Japan Chapter 11: The Home Care Gap: Neoliberalism, Feminism, and the State in the Netherlands Chapter 12: The Women's Movement, State Feminism, and Unemployment Reform in Spain, 2002-2003 Chapter 13: The Debate about Care Allowance in the Light of Welfare State Reconfiguration Chapter 14: The UK: Reforming the House of Lords Chapter 15: Welfare Reform: America's Hot Issue Chapter 16: Conclusion: State Feminism and State Restructuring since the 1990s

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.700
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.050
GPT teacher head0.325
Teacher spread0.275 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreOther

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

Citations43
Published2007
Admission routes1
Has abstractyes

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