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Record W93116198

Failure to launch: Cross-national trends in the transition to economic independence

2007· preprint· en· W93116198 on OpenAlexaboutno aff
Lisa Bell, Gary Burtless, Janet C. Gornick, Timothy M. Smeeding

Bibliographic record

VenueEconstor (Econstor) · 2007
Typepreprint
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsIndependence (probability theory)Demographic economicsWageEconomicsDemographyGeographyPolitical scienceDevelopment economicsLabour economicsSociology
DOInot available

Abstract

fetched live from OpenAlex

We analyze trends in the age of economic independence in six industrialized countries, Belgium, Canada, Germany, Italy, the United Kingdom, and the United States. The paper compares trends in the household living arrangements, employment rates, earnings levels, and net incomes as young adults rise in age from 18 to 34 years old. Our results show a picture of generally declining independent living and economic self-sufficiency ('failure to launch') among 18-34 year-old men and women in their early 20s from the mid-1980s to 1995-2000. The exceptions are women in their late 20s and early 30s , who have somewhat improved prospects for economic independence, although from a starting level that was well below that observed among men of the same age. North America (the United States and Canada ) and to some extent the U.K. offer partial exceptions to this general pattern. Between the mid-1980s and 2000 employment rates improved among young Americans in their late 20s and early 30s, and earnings levels either remained stable or increased modestly. The stability of U.S. employment levels helped to offset an apparent reduction in male hourly wage rates for this group , giving 26-34 year-old American men either larger gains or smaller losses in economic self-sufficiency compared to those experienced by their counterparts in continental Europe. In addition, young women in the U.S. who were 26 and older saw bigger improvements in wage self-sufficiency than most of their counterparts in continental Europe. In the closing section we speculate on the possible causes for such changes.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.101
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.313
Teacher spread0.286 · 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

Citations49
Published2007
Admission routes1
Has abstractyes

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