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Record W2057482599 · doi:10.5964/jspp.v2i1.308

Acknowledgement of Reviewers, 2012-2013

2014· article· en· W2057482599 on OpenAlexaboutno aff
J. Christopher Cohrs, Johanna Ray Vollhardt

Bibliographic record

VenueJournal of Social and Political Psychology · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
FundersLeibniz-GemeinschaftCurtin University of Technology
KeywordsAcknowledgementCitationDownloadLicenseLibrary scienceAltmetricsWorld Wide WebMedia studiesInternet privacyComputer scienceSociologyPolitical scienceComputer securityLaw

Abstract

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Acknowledgement of Reviewers, 2012-2013 Authors J. Christopher Cohrs School of Humanities and Social Sciences, Jacobs University Bremen, Bremen, Germany Johanna Ray Vollhardt Department of Psychology, Clark University, Worcester, MA, USA Abstract No abstract available. PDF HTML XML Article info Impact Citations How to Cite License Published at 31. January 2014 https://doi.org/10.5964/jspp.v2i1.308 Issue: Vol. 2 No. 1 (2014) Section: From the Editors Share: Z Cohrs, J. C., & Vollhardt, J. R. (2014). Acknowledgement of Reviewers, 2012-2013. Journal of Social and Political Psychology, 2(1), 1-2. https://doi.org/10.5964/jspp.v2i1.308 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX This work is licensed under a Creative Commons Attribution (CC BY) 3.0 International License. PlumX Dimensions Views: Total Abstract PDF HTML XML 270 112 68 12 78 Downloads: Download data is not yet available.

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)0.021
metaresearch head score (Gemma)0.134
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score0.420

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.134
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0090.004
Science and technology studies0.0030.001
Scholarly communication0.0100.005
Open science0.0040.004
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.1260.113

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 head0.059
GPT teacher head0.435
Teacher spread0.376 · 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
DomainEvaluation
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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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