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Record W2542800282 · doi:10.3138/jcfs.40.3.493

Cross-National Comparisons of Family Policies: The Relevance of National Approaches to Social Welfare

2009· article· en· W2542800282 on OpenAlexaffvenue
Curt Pankratz

Bibliographic record

VenueJournal of Comparative Family Studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsWelfareSocial policyWelfare statePublic economicsNational PolicyEconomicsSociologyPolitical sciencePoliticsLawMarket economy

Abstract

fetched live from OpenAlex

Taking the position that the structure of family policies plays a large role in shaping the lives of families, this paper argues that comparative research should place even greater emphasis on approaching family policies as being components of a larger welfare state. In this way, cross-national comparisons of family policies and their impacts on the lives of families can take fuller advantage of well-established research on the factors that give rise to particular overall national policy approaches. In order to facilitate this, this paper contextualizes family policies within a welfare state regimes framework by analyzing characteristics of family policies using the method established by welfare state regimes theorists. In doing so, this analysis also focuses on the extent to which family policies reinforce various forms of class stratification, where most current analyses have seen family policies primarily as impacting on gender stratification. It is argued that this will be helpful in working toward an understanding of welfare state regime histories and characteristics as underlying key differences between national approaches to the welfare of families.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.668
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
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 head0.447
GPT teacher head0.484
Teacher spread0.037 · 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

Citations6
Published2009
Admission routes2
Has abstractyes

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