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Record W4206977528 · doi:10.1017/s1537592721003029

PPS volume 19 issue 3 Cover and Front matter

2021· article· en· W4206977528 on OpenAlexaff
Michaël Bernhard, Daniel J. O'Neill, Jennifer Boylan, Stephanie Denardo, Karla Mundim, Graham Gallagher, MARAH SCHLINGENSIEPEN, Jennifer L. Hochschild, Reşat Bayer, Cristina Beltrán, Richard Franklin Bensel, Ruth Berins Collier, Nancy Bermeo, Charli Carpenter, Simone Chambers, Katherine J. Cramer, Zsolt Enyedi, Michael Goodhart, Anna Grzymała-Busse, Michael Hanchard, Juliet Hooker, Jane Junn, Daniel Kapust, Douglas Lemke, Julia Lynch, Marc Lynch, Samantha Majic, John Jay, Kathleen McNamara, Suzanne Mettler, Jørgen Møller, Anja Neundorf, Daniel H. Nexon, Erin M. O’Brien, Michael J. Owens, Christopher Parker, Andrew Sabl, Ed Schatz, Dan Slater, John W. Schiemann, Joe Soss, Paul Staniland, Joan C. Tronto, Ashutosh Varshney, Deborah J. Yashar, Janet M. Box‐Steffensmeier, Michelle D. Deardorff, Mala Htun, John Ishiyama, Paula D. McClain, Adam J. Berinsky, Ann O', Max Bowman, Julia S. Jordan‐Zachery, Lori J. Marso, Alberto Simpser, Rocío Titiunik, Lisa Wedeen, Ben W. Ansell, Erik Bleich, Alexandra Filindra, Rebecca D. Gill, Soo Kim, David L. Leal, Suzanna Linn, David Lublin, Steven Rathgeb, Smith Council, Menna Demessie, Terry Gilmour, Catherine Guisan, Nancy J. Hirschmann, Nahomi Ichino, Tamara Metz, Ido Oren, Jillian Schwedler

Bibliographic record

VenuePerspectives on Politics · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsUniversity of Toronto
FundersUniversity of Cambridge
KeywordsFront coverCover (algebra)Volume (thermodynamics)Front (military)Action (physics)Content (measure theory)Computer scienceEnvironmental scienceEngineeringMechanical engineeringMathematicsPhysicsThermodynamics

Abstract

fetched live from OpenAlex

Founded in 1903, the American Political Science Association (APSA) is the leading professional organization for the study of political science and serves more than 11,000 members in over 100 countries. With a range of programs and services for individuals, departments, and institutions, APSA brings together political scientists from all fields of inquiry, regions, and occupational endeavors within and outside academe in order to deepen our understanding of politics, democracy, and citizenship throughout the world. The direct advancement of knowledge is at the core of APSA activities. We promote scholarly communication in political science through a variety of initiatives including publishing four distinguished

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.134
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.8660.852

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 head0.021
GPT teacher head0.219
Teacher spread0.198 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2021
Admission routes1
Has abstractyes

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