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Record W4256273261 · doi:10.1017/s1537592716000013

PPS volume 14 issue 2 Cover and Front matter

2016· article· en· W4256273261 on OpenAlexfundno aff
Alex Gourevitch, Daniel Galvin, William W. Franko, Nathan J. Kelly, Christopher Witko, Alexander Hertel‐Fernandez, Dani Marinova, Katherine J. Cramer, Frank R. Baumgartner, Eva Bertram, Daniel Amico, John Tomasi, Katrina Burgess, Patrick Emmenegger, Janice Fine, Mark D. Sawyer, Joseph Schwartz, Romand Coles, Paula D. McClain, Timothy V. Kaufman-Osborn, Nannerl O. Keohane, Kuhika Gupta, Kathleen Knight, Eric M. Patashnik, Scott E. Robinson, Richard Locke, Hillel David Soifer, Laura Chaqués‐Bonafont, Anna Palau, David Williams, Anthony B. Atkinson, Larry Review

Bibliographic record

VenuePerspectives on Politics · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Sustainable Development
Canadian institutionsnot available
FundersUniversity of California, Santa BarbaraUniversity of CambridgeGeorgetown UniversityJohn Jay College of Criminal JusticeHarvard UniversityUniversity of MinnesotaPrinceton UniversityUniversity of ConnecticutUniversity of Southern CaliforniaCity University of New YorkYork UniversityGeorge Washington UniversityYale University
KeywordsFront coverCover (algebra)Volume (thermodynamics)Front (military)Content (measure theory)Action (physics)Computer scienceMathematicsEngineeringPhysicsMechanical engineeringThermodynamicsMathematical analysis

Abstract

fetched live from OpenAlex

Cover Art: LOS ANGELES, CA -October 7, 2014: Labor groups and workers, including John Beard, with the LA Black Worker Center (holding sign

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.813
Threshold uncertainty score0.266

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8130.724

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 head0.008
GPT teacher head0.229
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations1
Published2016
Admission routes1
Has abstractyes

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