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Record W3203417397 · doi:10.1177/00031224211042329

Next Steps for the Relative Education Hypothesis

2021· article· en· W3203417397 on OpenAlexaff
Jonathan Horowitz

Bibliographic record

VenueAmerican Sociological Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational and Educational Inequality Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBachelorContext (archaeology)Argument (complex analysis)Interpretation (philosophy)Demographic economicsPsychologyEconomicsPolitical scienceGeographyMedicine

Abstract

fetched live from OpenAlex

The relative education hypothesis states that in contexts where university degrees are scarce, workers with bachelor’s degrees are sought after and enter cognitively skilled occupations; but as education expands across birth cohorts, some workers with bachelor’s degrees are unable to maintain their position in the labor market. In an earlier ASR article (Horowitz 2018), I found support for this argument; however, Furey (2021) shows model instability in estimates of the education–skill relationship. We should treat the results from these two studies as a range of possible estimates, and carefully consider interpretation of the findings in the context of the selected reference categories. Future revisions of the relative education hypothesis should consider that absolute and relative education effects might not shift concurrently, and also that labor market experiences may vary considerably by field of study and occupation.

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)0.007
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: Review · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score0.867

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.243
GPT teacher head0.459
Teacher spread0.216 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2021
Admission routes1
Has abstractyes

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