MétaCan
Menu
Back to cohort
Record W2001359433 · doi:10.5964/ejop.v3i2.394

Taking the Pulse of Global Psychology

2007· article· en· W2001359433 on OpenAlexaboutno aff
Mihaela Chraif, Vlad Petre Glăveanu

Bibliographic record

VenueEurope’s Journal of Psychology · 2007
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsnot available
Fundersnot available
KeywordsDownloadLicenseCitationLibrary scienceSection (typography)Computer scienceWorld Wide WebPsychology

Abstract

fetched live from OpenAlex

Taking the Pulse of Global Psychology Authors Mihaela Chraif EJOP Editor Vlad Glăveanu EJOP Editor Abstract No abstract available. HTML Article info Impact Citations How to Cite License Published at 29. May 2007 https://doi.org/10.5964/ejop.v3i2.394 Issue: Vol. 3 No. 2 (2007) Section: Editorial Share: Z Chraif, M., & Glăveanu, V. (2007). Taking the Pulse of Global Psychology. Europe’s Journal of Psychology, 3(2). https://doi.org/10.5964/ejop.v3i2.394 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 HTML 151 140 11 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)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.008
Scholarly communication0.0100.011
Open science0.0010.003
Research integrity0.0050.015
Insufficient payload (model declined to judge)0.0170.005

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 head0.149
GPT teacher head0.474
Teacher spread0.324 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueEurope’s Journal of PsychologySame topicCultural Differences and ValuesFrench-language works237,207