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Record W4391176893 · doi:10.1111/bjso.12726

Issue Information

2024· paratext· en· W4391176893 on OpenAlexfundno aff

Bibliographic record

VenueBritish Journal of Social Psychology · 2024
Typeparatext
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
FundersRoyal Holloway, University of LondonUniversity of Massachusetts AmherstUniversität InnsbruckPeking UniversityUniversité de LausanneUniversidade de LisboaLeibniz-GemeinschaftTel Aviv UniversitySimon Fraser UniversitySapienza Università di RomaUniversity of Hong KongUniversiteit GentUniversità degli Studi di Milano-BicoccaWestern Sydney UniversityJohannes Gutenberg-Universität MainzRijksuniversiteit GroningenUniversity of MiamiDurham UniversityCardiff UniversityUniversity of SussexUniversity of LeedsKU LeuvenUniversity of St AndrewsUniversity of LimerickFlinders UniversityTrent UniversityQueen Margaret UniversityMcMaster UniversityNottingham Trent UniversityUniversity of OxfordUniversity of South FloridaUniversity of DundeeJohns Hopkins UniversityLehigh UniversityLondon School of Economics and Political ScienceUniversitetet i OsloUniversity of ExeterUniversity of Nebraska-LincolnHelsingin Yliopisto
KeywordsPsychologySocial psychology

Abstract

fetched live from OpenAlex

ESG (Environmental

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.039
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.006
Science and technology studies0.0020.001
Scholarly communication0.0070.003
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.9610.923

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 head0.025
GPT teacher head0.368
Teacher spread0.343 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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