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Record W3036239323 · doi:10.1177/0963662520923110

What science means to me: Understanding personal identification with (evolutionary) science using the sociology of (non)religion

2020· article· en· W3036239323 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePublic Understanding of Science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsnot available
FundersTempleton Religion Trust
KeywordsPublicsSociologyIdentification (biology)EpistemologySociology of scientific knowledgeSocial sciencePoliticsExistentialismField (mathematics)Norm (philosophy)Social science educationScience educationPolitical scienceLaw

Abstract

fetched live from OpenAlex

Within science and technology studies, there is an established tradition of examining publics’ knowledge of, trust in, access to and engagement with science, but less attention has been paid to whether and why publics identify with science. While this is understandable given the field’s interest in bridging gaps between publics and producers of scientific knowledge, it leaves unanswered questions about how science forms part of people’s worldviews and fits into cultural politics and conflict. Based on 123 interviews and 16 focus groups with mixed religious and nonreligious publics and scientists in the United Kingdom and Canada, this article utilises approaches from the sociology of (non)religion to delineate varieties of science identification. It maps out ‘practical’, ‘norm-based’, ‘civilisational’ and ‘existential’ identifications and explores how these interrelate with people’s social characteristics. The article illustrates how science identification is typically dependent on a constellation of cultural/political influences rather than just emerging out of interest in science.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.008
Science and technology studies0.0060.048
Scholarly communication0.0010.004
Open science0.0020.000
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 head0.625
GPT teacher head0.445
Teacher spread0.180 · 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