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Record W4242895532 · doi:10.3368/jhr.50.3.549

Leaving Boys Behind

2015· article· en· W4242895532 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Journal of Human Resources · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSchool Choice and Performance
Canadian institutionsCanadian Institute for Advanced Research
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institute for Advanced Research
KeywordsDistribution (mathematics)PsychologyMode (computer interface)Demographic economicsMathematics educationDecompositionDemographyDevelopmental psychologySociologyEconomicsMathematicsComputer scienceChemistry

Abstract

fetched live from OpenAlex

Using data from the “Monitoring the Future” surveys, this paper shows that from the 1980s to the 2000s, the mode of girls’ high school GPA distribution has shifted from “B” to “A,” essentially “leaving boys behind” as the mode of boys’ GPA distribution stayed at “B.” In a reweighted Oaxaca-Blinder decomposition of achievement at each GPA level, we find that changes to gender differences in post-secondary expectations, in particular expectations for attending graduate or professional school, are the most important factors accounting for this trend after controlling for school ability and they occur as early as the eighth grade.

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.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.075
GPT teacher head0.353
Teacher spread0.278 · 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