MétaCan
Menu
Back to cohort
Record W1552179849

Why Did Employment and Earnings Rise Among Lone Mothers During the 1980s and 1990s

2006· article· en· W1552179849 on OpenAlexaboutno aff
Feng Hou, Karen Myers, John Myles, Garnett Picot

Bibliographic record

VenueAnalytical Studies Branch Research Paper Series · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsQuarter (Canadian coin)Baby boomDemographic economicsBoomEconomicsMaturity (psychological)PopulationLabour economicsDemographyPsychologyGeographySociologyDevelopmental psychologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

Employment rates and earnings among single mothers improved significantly after 1980, and by 2000, low-income rates reached new historic lows. Unlike married mothers, most of the gains among lone mothers were the result of the dynamics of population change and cohort replacement as the large and better educated baby boom generation replaced earlier cohorts and began entering their forties. Most of these gains, moreover, went to older lone mothers. The demographically driven gains of lone mothers in the past quarter century were an historical event unlikely to be repeated in the future. Since the demographic drivers underlying these gains are now nearing maturity, future gains from this source are likely to be modest.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.005
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 head0.038
GPT teacher head0.342
Teacher spread0.304 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueAnalytical Studies Branch Research Paper SeriesSame topicGender, Labor, and Family DynamicsFrench-language works237,207