MétaCan
Menu
Back to cohort
Record W3160357885 · doi:10.1038/s41562-021-01130-8

The rise of affectivism

2021· article· en· W3160357885 on OpenAlexaff
Daniel Dukes, Kathryn Abrams, Ralph Adolphs, Mohammed Emtiaz Ahmed, Andrew Beatty, Kent Berridge, Susan Broomhall, Tobias Brosch, Joseph J. Campos, Zanna Clay, Fabrice Clément, William A. Cunningham, António R. Damásio, Hanna Damásio, Justin D’Arms, Jane W. Davidson, Béatrice de Gelder, Julien Deonna, Ronnie de Sousa, Paul Ekman, Phoebe C. Ellsworth, Ernst Fehr, Agneta H. Fischer, Ad Foolen, Ute Frévert, Didier Grandjean, Jonathan Gratch, Leslie S. Greenberg, Patricia Greenspan, James J. Gross, Eran Halperin, Arvid Kappas, Dacher Keltner, Brian Knutson, David Konstan, Mariska E. Kret, Joseph E. LeDoux, Jennifer S. Lerner, Robert W. Levenson, George Loewenstein, Antony S. R. Manstead, Terry A. Maroney, Agnes Moors, Paula M. Niedenthal, Brian Parkinson, Ioannis Pavlidis, Catherine Pélachaud, Seth D. Pollak, Gilles Pourtois, Birgitt Roettger-Roessler, James A. Russell, Disa Sauter, Andrea Scarantino, Klaus R. Scherer, Peter N. Stearns, Jan E. Stets, Christine Tappolet, Fabrice Teroni, Jeanne L. Tsai, Jonathan H. Turner, Carien M. van Reekum, Patrik Vuilleumier, Tim Wharton, David Sander

Bibliographic record

VenueNature Human Behaviour · 2021
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsUniversité de MontréalYork UniversityUniversity of Toronto
FundersNational Cancer InstituteNational Institute of Mental HealthEconomic and Social Research CouncilUniversité de FribourgDurham UniversityUniversité de GenèveAustralian Catholic UniversityNational Institute on Drug AbuseCalifornia Institute of Technology
KeywordsFeelingExplanatory powerPsychologyPower (physics)Ask priceSocial psychologyCognitive psychologyEpistemologyEconomics

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.017
Scholarly communication0.0060.007
Open science0.0010.003
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0090.001

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 head0.020
GPT teacher head0.365
Teacher spread0.346 · 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 designTheoretical or conceptual
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

Citations224
Published2021
Admission routes1
Has abstractno

Explore more

Same venueNature Human BehaviourSame topicEmotions and Moral BehaviorFrench-language works237,207