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Record W4234864186 · doi:10.5964/ejop.v6i4.235

The 15th European Conference on Developmental Psychology

2010· article· en· W4234864186 on OpenAlexaboutno aff
Vlad Petre Glăveanu

Bibliographic record

VenueEurope’s Journal of Psychology · 2010
Typearticle
Languageen
FieldEngineering
TopicTechnology Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsDownloadLicenseCitationLibrary scienceAttributionPolitical sciencePsychologyWorld Wide WebComputer scienceLawSocial psychology

Abstract

fetched live from OpenAlex

The 15th European Conference on Developmental Psychology Authors Vlad Glăveanu EJOP Editor Abstract Bergen, Norway 23-27 August 2011 PDF Article info Impact Citations How to Cite License Published at 29. November 2010 https://doi.org/10.5964/ejop.v6i4.235 Issue: Vol. 6 No. 4 (2010) Section: Global PsyPulse Share: Z Glăveanu, V. (2010). The 15th European Conference on Developmental Psychology. Europe’s Journal of Psychology, 6(4). https://doi.org/10.5964/ejop.v6i4.235 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 430 241 189 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)0.003
metaresearch head score (Gemma)0.006
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 score0.392
Threshold uncertainty score0.867

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.3920.192

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 head0.024
GPT teacher head0.303
Teacher spread0.280 · 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

Citations25
Published2010
Admission routes1
Has abstractyes

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