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Record W2140038932 · doi:10.5539/jpl.v6n2p54

Profile of Contributors to the American Political Science Review, 2010

2013· article· en· W2140038932 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Politics and Law · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Science Research and Education
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsLibrary scienceState (computer science)Asian American studiesGovernment (linguistics)Political scienceSociologyMedia studiesHistoryLawGender studies

Abstract

fetched live from OpenAlex

This study examines the profile of contributors of full-length articles to the American Political Science Review (APSR) in 2010. Of the 79 different contributors, almost 9 (86.1%) out of every 10 are men. Whites accounted for over 9 (93.7%) out of every 10 contributors. Full professors accounted for 35%, the highest rate, with assistant professors accounting for 31 percent. Yale University, Harvard University, University of Illinois-Champaign, Florida State University, Massachusetts Institute of Technology, University of California-San Diego, and the University of Chicago, all employ 3 or more of these contributors. Almost 94% of the contributors have a Ph.D. Almost 89% of the contributors earned their terminal or highest degrees in political science/government. Harvard University, the University of Chicago, the University of Rochester, the University of California-Berkeley, and Duke University, all conferred 4 or more terminal or highest degrees to these contributors. The study presents explanations for these results, focusing on the underrepresentation of women and minorities.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.793
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.026
GPT teacher head0.398
Teacher spread0.372 · 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