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Record W2000526245 · doi:10.1111/1468-2397.00221

Understanding how globalisation and restructuring affect women’s lives: implications for comparative policy analysis

2002· article· en· W2000526245 on OpenAlexaffabout
Sheila M. Neysmith, Xiaobei Chen

Bibliographic record

VenueInternational Journal of Social Welfare · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsUniversity of AlbertaUniversity of Toronto
Fundersnot available
KeywordsRestructuringGlobalizationScholarshipPoliticsComparative researchComparative caseSociologyPolitical scienceCitizenshipEconomic restructuringPublic policyConceptual frameworkSocial policyChinaPolitical economyEconomic growthDevelopment economicsEconomicsSocial science

Abstract

fetched live from OpenAlex

Globalisation and neo–liberal restructuring have transformed social policy and social services in many countries over the past two decades. Among the various impacts on different societies, one commonality is that many of the costs of restructuring are being picked up by women. In the last decade, feminist scholars have developed a critique of the effects of restructuring on the public and private lives of women, effects which are conspicuously absent from many discussions of restructuring. This article presents several conceptual ingredients for a framework that can facilitate a comparative understanding of restructuring and its effects on women at both global and local levels. Canada and China are used to illustrate the utility of such an approach to comparative policy analysis. The article contributes to a growing body of feminist literature on changing regimes of citizenship. It adds to the scholarship on comparative policy analysis by developing a research approach that is grounded in the experiences of women and is attentive to global and local politics. We argue that understanding just how restructuring affects different groups of women is essential for developing analyses that can cross national boundaries and challenge policies that reproduce conditions that oppress women.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score0.463

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 studies0.0010.000
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 head0.189
GPT teacher head0.411
Teacher spread0.222 · 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 designTheoretical or conceptual
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

Citations21
Published2002
Admission routes2
Has abstractyes

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