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Record W4293163655 · doi:10.51952/9781529206968.ch003

Language, Labels and Lived Identity in Debates about Science, Religion and Belief

2019· book-chapter· en· W4293163655 on OpenAlexaboutno aff
Tom Kaden, Stephen Jones, Rebecca Catto

Bibliographic record

VenueBristol University Press eBooks · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)SociologyEpistemologyAnthropologyPsychologyLinguisticsAestheticsPhilosophy

Abstract

fetched live from OpenAlex

In public discussion and polling on the subject of science and belief people’s views are often subsumed under identity labels such as ‘Creationism’, ‘Darwinism’, ‘New Atheism’, ‘Intelligent Design’ and ‘Theistic Evolutionism’. Often, these labels are held to accurately represent people’s views both by public figures and by social scientific researchers. In this chapter, Kaden, Jones and Catto make the case for a reassessment of the role of labels and the knowledge connected to them in popular and social scientific treatment of the relationship between science and belief. They argue that there are considerable problems in identifying people’s views using the majority of commonly used analytic labels. Drawing on 123 semi-structured interviews with scientists and members of the public in the UK and Canada from a range of religious and non-religious positions, the authors then show that such categories of belief are creatively interpreted. The authors highlight the limited salience of popular concepts in science and religion debates, showing that such terms are frequently unfamiliar to British and Canadian publics. Based on their analysis, they argue that naive application of labels contributes to misperceptions and prejudices, especially relating to religious people’s beliefs about human origins. Finally, they conclude that to limit such misperceptions attention needs to be paid by scholars to whether, how and why individuals relate their fundamental beliefs to aspects of 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.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.997
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.017
GPT teacher head0.264
Teacher spread0.247 · 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 designTheoretical or conceptual
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

Citations0
Published2019
Admission routes1
Has abstractyes

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Same venueBristol University Press eBooksSame topicAmerican Constitutional Law and PoliticsFrench-language works237,207