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Record W3033284331 · doi:10.1111/nyas.14323

Beyond oneself: the ethics and psychology of awe

2020· article· en· W3033284331 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsAmorfix (Canada)University of Toronto
Fundersnot available
KeywordsWonderPsychologyMoralityImpulse (physics)Social psychologyMeaning (existential)AestheticsEpistemologySociologyPsychoanalysisPhilosophy

Abstract

fetched live from OpenAlex

Awe and wonder appear to be powerful emotions that can inform and shape our attitudes toward ourselves and others, especially in relation to the larger meaning and purpose of our lives. What are the psychological underpinnings of these universal emotions? How does awe, for example, relate to self-knowledge, and more generally to understanding the enigmatic contradictions of human nature? Is it possible to cultivate and develop this emotion as an ethical incentive in our relationships with others? Are awe and wonder capable of awakening and engendering moral transformation? Does the emotion of awe lie at the root of the religious impulse in humans? and Is there any room left for a sense of the miraculous in today's increasingly scientific and secular world? Professor of religious studies Lisa Sideris joins psychologists Jennifer Stellar and Piercarlo Valdesolo to explore how awe shapes our perspectives and views on everything from science to morality.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.563
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 studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.390
GPT teacher head0.427
Teacher spread0.037 · 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