MétaCan
Menu
Back to cohort
Record W2073094406 · doi:10.1016/j.alcr.2013.09.003

Individualization, opportunity and jeopardy in American women's work and family lives: A multi-state sequence analysis

2013· article· en· W2073094406 on OpenAlexafffund
Diana Worts, Amanda Sacker, Anne McMunn, Peggy McDonough

Bibliographic record

VenueAdvances in Life Course Research · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsPublic Health OntarioUniversity of Toronto
FundersInstitute of Gender and HealthEconomic and Social Research CouncilEuropean Research CouncilSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health Research
KeywordsState (computer science)Sequence (biology)Work (physics)PsychologyComputer scienceEngineeringAlgorithm

Abstract

fetched live from OpenAlex

Life course sociologists are increasingly concerned with how the general character of biographies is transformed over historical time--and with what this means for individual life chances. The individualization thesis, which contends that contemporary biographies are less predictable, less orderly and less collectively determined than were those lived before the middle of the 20th century, suggests that life courses have become both more internally dynamic and more diverse across individuals. Whether these changes reflect expanding opportunities or increasing jeopardy is a matter of some debate. We examine these questions using data on the employment, marital and parental histories, over the ages of 25-49, for five birth cohorts of American women (N=7150). Our results show that biographical change has been characterized more by growing differences between women than by increasing complexity within individual women's lives. Whether the mounting diversity of work and family life paths reflects, on balance, expanding opportunities or increasing jeopardy depends very much on the social advantages and disadvantages women possessed as they entered their prime working and childrearing years.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0000.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.111
GPT teacher head0.440
Teacher spread0.329 · 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 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

Citations35
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueAdvances in Life Course ResearchSame topicWork-Family Balance ChallengesFrench-language works237,207