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Record W4236252896 · doi:10.33423/jabe.v22i12.3884

Why Was the Relationship Between Church Attendance and Wage Negative Among Younger Adults in the 1980s? An Explanation Based on the US Evidence

2020· article· en· W4236252896 on OpenAlexvenueno aff

Bibliographic record

VenueJournal of Applied Business and Economics · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Literacy, Pension, Retirement Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAttendanceNational Longitudinal SurveysWagePsychologyChurch attendancePositive relationshipYoung adultLongitudinal studyDemographic economicsDevelopmental psychologyDemographySocial psychologyEconomicsMedicineLabour economicsSociologyEconomic growth

Abstract

fetched live from OpenAlex

Using data from the National Longitudinal Survey of Youth, 1979 (NLSY79), this study demonstrates that the relationship between church attendance and wage was negative among younger adults in the 1980s. This is contrary to what is predicted by several studies in the literature. Following evidence from earlier research, the current study presents a theoretical model that explains why the relationship between these two variables may be negative for younger adults, when it is positive for older adults, and tests it empirically using data from the NLSY79. The results indicate that the difference in this relationship exists in most cases due to the evidence of a positive relationship between church attendance and school attendance, and a negative relationship between school attendance and fulltime employment among younger adults.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.019
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.045
GPT teacher head0.228
Teacher spread0.182 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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