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Record W4401485461 · doi:10.1177/09637214241262709

Does Science Erode Meaning?

2024· article· en· W4401485461 on OpenAlexaff
Jessica L. Tracy, Ian Hohm, Ari Makridakis

Bibliographic record

VenueCurrent Directions in Psychological Science · 2024
Typearticle
Languageen
FieldPsychology
TopicDeath Anxiety and Social Exclusion
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsReductionismMaterialismExistentialismMeaning (existential)EpistemologyIdeologyContext (archaeology)PsychologySociologySocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

Humans need to experience meaning in their lives yet often find it difficult to do so. We argue that, for nonreligious individuals in many Western cultures, the materialist and reductionist ideology that surrounds scientific practice and data may be an impediment to attaining a robust sense of meaning in life. Furthermore, scientific materialism and reductionism may be especially problematic for existential mattering—the form of meaning entailing a belief that one’s life matters in the context of the universe as a whole. We review new research supporting this account, along with implications for those immersed in the materialist worldview. We conclude by suggesting possible means of finding meaning, including a sense of existential mattering, without abandoning science, and highlight research directions to further examine these possibilities.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.007
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.050
GPT teacher head0.456
Teacher spread0.406 · 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 teacher head, not a consensus.

Study designOther design
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

Citations3
Published2024
Admission routes1
Has abstractyes

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