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Record W2056974776 · doi:10.1080/03054985.2010.545194

Single‐sex schooling and labour market outcomes

2011· article· en· W2056974776 on OpenAlexaboutno aff
Alice Sullivan, Heather Joshi, Diana Leonard

Bibliographic record

VenueOxford Review of Education · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational and Educational Inequality Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSingle sexQuarter (Canadian coin)CohortSocial mobilitySocial classDemographic economicsPsychologySex segregationNational Child Development StudyLabour economicsDemographySociologyEconomicsSocioeconomic statusGender studiesMedicinePopulationGeographySocial science

Abstract

fetched live from OpenAlex

One quarter of the 1958 British Birth cohort attended single‐sex secondary schools. This paper asks whether sex‐segregated schooling had any impact on the experience of gender differences in the labour market in mid‐life. We examine outcomes at age 42, allowing for socio‐economic origins and abilities measured in childhood. We find no net impact of single‐sex schooling on the chances of being employed in 2000, nor on the horizontal or social class segregation of mid‐life occupations. But we do find a positive premium (5%) on the wages of women (but not men), of having attended a single‐sex school. This was accounted for by the relatively good performance of girls‐only school students in post‐16 qualifications, not by the wider range of subjects studied by both girls and boys at single‐sex schools. Men’s labour market attainments were more closely related to attending private schools and to parental class, suggesting that the intergenerational transmission of advantage, while not related to coeducation, is related to gender.

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)0.000
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.084
GPT teacher head0.371
Teacher spread0.288 · 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

Citations29
Published2011
Admission routes1
Has abstractyes

Explore more

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