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Record W4282982307 · doi:10.31234/osf.io/9nu32

The Human Affectome

2022· preprint· en· W4282982307 on OpenAlexafffund
Daniela Schiller, Alessandra Nicoletta Cruz Yu, Nelly Alia‐Klein, Susanne Becker, Howard C. Cromwell, Florin Dolcos, Paul J. Eslinger, Paul Frewen, Andrew H. Kemp, Edward F. Pace‐Schott, Jacob Raber, Rebecca L. Silton, Elka Stefanova, Justin H. G. Williams, Nobuhito Abe, Moji Aghajani, Franziska Albrecht, Rebecca Alexander, Silke Anders, Oriana R. Aragón, J. Arias, Shahar Arzy, Tatjana Aue, Sandra Báez, Michela Balconi, Tommaso Ballarini, Scott Bannister, Marlissa C. Amole, Karen Caplovitz Barrett, Catherine Belzung, Moustafa Bensafi, Linda Booij, Jamila Bookwala, Julie Boulanger-Bertolus, Sydney Weber Boutros, Anne‐Kathrin Bräscher, Antonio Bruno, Geraldo F. Busatto, Lauren M. Bylsma, Catherine L. Caldwell‐Harris, Raymond C. K. Chan, Nicolas Cherbuin, Julian Chiarella, Pietro Cipresso, Hugo Critchley, Denise E. Croote, Heath A. Demaree, Thomas F. Denson, Brendan E. Depue, Birgit Dernt, Joanne M. Dickson, Sanda Dolcos, Anat Drach‐Zahavy, Olga Dubljević, Tuomas Eerola, Dan‐Mikael Ellingsen, Beth Fairfield, Camille Ferdenzi, Bruce H Scarpa-Friedman, Cynthia H.Y. Fu, Justine M. Gatt, Béatrice de Gelder, Guido H. E. Gendolla, Gadi Gilam, Hadass Goldblatt, Anne Kotynski, Olivia Gosseries, Alfons O. Hamm, Jamie L. Hanson, Talma Hendler, Cornelia Herbert, Stefan G. Hofmann, Agustín Ibáñez, Mateus Joffily, Tanja Jovanović, Ian J. Kahrilas, Maria Kangas, Yuta Katsumi, Elizabeth A. Kensinger, Lauren A. J. Kirby, Rebecca Koncz, Ernst H. W. Koster, Kasia Kozlowska, Sören Krach, Mariska E. Kret, Martin Krippl, Kwabena Kusi‐Mensah, Cecile D. Ladouceur, Steven Laureys, A.B. Lawrence, Chiang‐Shan R. Li, Belinda J. Liddell, Navdeep K. Lidhar, Christopher A. Lowry, Kelsey Magee, Marie‐France Marin, Veronica Mariotti, Loren J. Martin, Hilary A. Marusak, Annalina V. Mayer, Amanda R. Merner, Jessica Minnier, Jorge Moll, Robert Morrison, Matthew Moore, Anne‐Marie Mouly, Sven C. Mueller, Andreas Mühlberger, Nora A. Murphy, Maria Rosaria Anna Muscatello, Erica D. Musser, Tamara L. Newton, Michael Noll‐Hussong, Seth D. Norrholm, Georg Northoff, Robin Nusslock, Hadas Okon‐Singer, Thomas M. Olino, Catherine N. M. Ortner, Mayowa Owolabi, Caterina Padulo, Romina Palermo, Rocco Palumbo, Sara Palumbo, Christos Papadelis, Alan J. Pegna, Silvia Pellegrini, Kirsi Peltonen, Brenda W.J.H. Penninx, Pietro Pietrini, Graziano Pinna, Rosario Pintos Lobo, Kelly L. Polnaszek, Maryna Polyakova, Christine A. Rabinak, S. Helene Richter, Thalia Richter, Giuseppe Riva, Amelia Rizzo, Jennifer L. Robinson, Pedro Rosa‐Neto, Perminder S. Sachdev, Wataru Satomi, Matthias L. Schroeter, Susanne Schweizer, Youssef Shiban, Advaith Siddharthan, Ewa Siedlecka, Robert C. Smith, Hermona Soreq, Derek P. Spangler, Emily Stern, Charis Styliadis, Gavin Brent Sullivan, James E. Swain, Sébastien Urben, Jan Van den Stock, Michael A. van der Kooij, Mark van Overveld, Tamsyn E. Van Rheenen, Michael B. VanElzakker, Carlos Ventura‐Bort, Edelyn Verona, Tyler Volk, Yi Wang, Leah T. Weingast, Mathias Weymar, Claire Williams, Megan Willis, Paula Yamashita, Roland Zahn, Barbra Zupan, Leroy Lowe

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsWestern University
FundersHORIZON EUROPE Marie Sklodowska-Curie ActionsFondo para la Investigación Científica y TecnológicaNational Institute on Drug AbuseNational Institute of Mental HealthOffice of Naval ResearchNational Institute on AgingNational Health and Medical Research CouncilMedical Research CouncilCanadian Institutes of Health ResearchNational Institutes of HealthAgencia Nacional de Investigación y DesarrolloUniversité de LyonFondo de Financiamiento de Centros de Investigación en Áreas PrioritariasMinistero dell’Istruzione, dell’Università e della RicercaMinistero della SaluteResearch Foundation for the State University of New YorkConsejo Nacional de Investigaciones Científicas y TécnicasU.S. NavyUniversity of MelbourneSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungHealth and Care Research WalesDeutsche ForschungsgemeinschaftColorado Office of Economic Development and International TradeU.S. Department of DefensePeter F. McManus Charitable TrustState University of New YorkAgence Nationale de la RechercheBiotechnology and Biological Sciences Research CouncilNational Aeronautics and Space AdministrationWellcome TrustNational Alliance for Research on Schizophrenia and DepressionAustralian Research CouncilOregon Health and Science UniversityUniversity of Illinois at Urbana-ChampaignAlzheimer's AssociationBrain and Behavior Research FoundationNational Science FoundationNorges ForskningsrådMultidisciplinary University Research InitiativeJames S. McDonnell Foundation
KeywordsMetaphysicsTeleologyField (mathematics)Set (abstract data type)EpistemologyCapstonePsychologySociologyCognitive scienceComputer sciencePhilosophyMathematics

Abstract

fetched live from OpenAlex

Over the last decades, the interdisciplinary field of the affective sciences has seen proliferation rather than integration of theoretical perspectives. This is due to differences in metaphysical and mechanistic assumptions about human affective phenomena (what they are and how they work) which, shaped by academic motivations and values, have determined the affective constructs and operationalizations. An assumption on the purpose of affective phenomenacan be used as a teleological principle to guide the construction of a common set of metaphysical and mechanistic assumptions—a framework for human affective research. In this capstone paper for the special issue “Towards an Integrated Understanding of the Human Affectome”, we gather the tiered purpose of human affective phenomena to synthesize assumptions that account for human affective phenomenacollectively. This teleologically-grounded framework offers a principled agenda and launchpad for both organizing existing perspectives and generating new ones. Ultimately, we hope Human Affectome brings us a step closer to not only an integrated understanding of human affective phenomena, but an integrated field for affective research.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.550
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0780.001

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 head0.185
GPT teacher head0.550
Teacher spread0.364 · 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; both teacher heads 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

Citations15
Published2022
Admission routes2
Has abstractyes

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