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Record W3127329848 · doi:10.1111/spc3.12582

Public sciences, public enemies. Boundary work and cultural hegemony in public controversies between evolutionists and feminists

2021· article· en· W3127329848 on OpenAlexaff
Nora Ruck

Bibliographic record

VenueSocial and Personality Psychology Compass · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical theory and Gramsci
Canadian institutionsYork University
FundersFP7 People: Marie-Curie Actions
KeywordsHegemonyIdeologyEvolutionismSociologyGender studiesRhetorical questionBoundary-workSocial scienceEnvironmental ethicsEpistemologyPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

Abstract Social conflicts are often discussed in the form of public scientific controversies in knowledge societies. This paper analyzes several public controversies tackling issues of gender inequalities between evolutionists (evolutionary psychologists and evolutionary psychologically oriented journalists) and feminists (feminist scientists and journalists) in US media between the early 1980s and the early 2000s. The inquiry focuses on rhetorical strategies of “boundary work” participants used to make their point and strengthen their public authority on the issues discussed. By practicing boundary work, scientists distance themselves from ideology. It is suggested that Antonio Gramsci's works on hegemony and the intellectuals allows to think about intellectual's roles in ideological struggles in a different way: the public scientific controversies analyzed occurred at a time when “traditional” gender and family models had lost their hegemonic role and gender relations were rather thoroughly rearranged. They can thus be understood as part of a larger social struggle for cultural hegemony on issues of gender and sexuality.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.008
Scholarly communication0.0010.001
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 head0.198
GPT teacher head0.404
Teacher spread0.206 · 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 designObservational
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

Citations0
Published2021
Admission routes1
Has abstractyes

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