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Record W4244486967 · doi:10.5964/ejop.v8i1.306

XI International Conference on Social Representations

2012· article· en· W4244486967 on OpenAlexaboutno aff
Vlad Petre Glăveanu

Bibliographic record

VenueEurope’s Journal of Psychology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsDownloadCitationLicenseLibrary scienceComputer scienceSociologyPolitical scienceWorld Wide WebLaw

Abstract

fetched live from OpenAlex

XI International Conference on Social Representations Authors Vlad Glăveanu EJOP Editor Abstract XI International Conference on Social Representations25-28 June 2012 Évora, Portugal PDF Article info Impact Citations How to Cite License Published at 13. March 2012 https://doi.org/10.5964/ejop.v8i1.306 Issue: Vol. 8 No. 1 (2012) Section: Global PsyPulse Share: Z Glăveanu, V. (2012). XI International Conference on Social Representations. Europe’s Journal of Psychology, 8(1). https://doi.org/10.5964/ejop.v8i1.306 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 239 149 90 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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.262
Threshold uncertainty score0.878

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0100.006
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2620.098

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 head0.195
GPT teacher head0.517
Teacher spread0.322 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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