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Record W2135017324 · doi:10.1177/0038038507076615

`Things are Getting Better all the Time'?

2007· article· en· W2135017324 on OpenAlexfundno aff
Christine Everingham, Deborah Stevenson, Penny Warner‐Smith

Bibliographic record

VenueSociology · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsnot available
FundersYork University
KeywordsNarrativeSociologyZeitgeistEquity (law)Gender studiesTheme (computing)Social policyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This ar ticle addresses the dilemmas associated with continuing to interpret women's experience through the lens of a progress narrative that emerged to represent the aspirations of women during the peak of the women's movement. The central theme of this narrative is that gender will no longer act as a social constraint once women are recognized as workers as well as mothers. Drawing on the theoretical framework of Karl Mannheim and empirical data from in-depth inter views under taken as par t of a generational study of Australian women, the ar ticle argues that the progress narrative no longer inspires young women, who take gender equity for granted. Although motherhood continues to shape their working arrangements, the discourses they use to make sense of the tensions involved are embedded in a new Zeitgeist which prioritizes `choice', not `equity'. The implications of this shift for the `work-life balance' social policy agenda are then considered.

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.019
Scholarly communication0.0080.011
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.027
GPT teacher head0.343
Teacher spread0.315 · 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 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

Citations40
Published2007
Admission routes1
Has abstractyes

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