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Record W4324132290 · doi:10.1086/724959

Schools of Thought: Leader Education and Policy Outcomes

2023· article· en· W4324132290 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.

Bibliographic record

VenueThe Journal of Politics · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsPolitical scienceDownloadAssociation (psychology)Public administrationLibrary scienceLawEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

We develop a leader-specific theory to explain economic and political liberalization. We argue that leaders’ policy decisions in office depend, in part, on their exposure to classical liberal values while at university, through the content of social science and humanities courses. Variation comes from two sources: across educational institution types and within them via specialization. Educational institutions differ in terms of their autonomy from the state, which determines universities’ quality in the social sciences and humanities, and the degree of hierarchy within the classroom (egalitarian vs. authoritarian), which reinforces/hinders students’ ability to internalize course content. Within-institution variation comes from specialization: some specializations have a larger curriculum component that emphasizes classical liberal values. Using a novel data set on country leaders’ educational attainment and specialization, we show that leaders who attended autonomous and egalitarian universities—particularly those specializing in economics or law—are more likely to implement liberal reform across policy areas.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.162

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 communication0.0000.000
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 head0.046
GPT teacher head0.364
Teacher spread0.319 · 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