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Record W2786256728

Cultural Darwinism: Race and Radio in the Early Twentieth Century

2018· article· en· W2786256728 on OpenAlexvenueno aff
Emily Beth Santor

Bibliographic record

VenueSound Ideas (University of Puget Sound) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicRadio, Podcasts, and Digital Media
Canadian institutionsnot available
Fundersnot available
KeywordsRace (biology)DarwinismHistorySociologyGender studiesPhilosophyEpistemology
DOInot available

Abstract

fetched live from OpenAlex

For those who are unfamiliar with the term, ‘mansplaining’ refers to a moment when a man takes it upon himself to educate others with a "delightful mixture of privilege and ignorance that leads to condescending, inaccurate explanations, delivered with the rock-solid conviction of rightness and that slimy certainty that of course he is right, because he is the man in [the] conversation." Since its introduction to the English language in the early 21st century, mansplaining has generally been used in reference to women’s rights and feminism’s struggle with cultural misogyny. However, the term serves as an excellent metaphor to describe the situation that occurred in the focus of this essay – a radio symposium about science and religion. The men who spoke in the symposium were regarded as experts in their fields mostly due to their privilege, class, race, and gender – none of which they earned and none of which qualified them to talk about the subject. Rather than men explaining women – as is the case with mansplaining – this symposium shows white Christians explaining non-white non-Christians. This ‘white-splaining’ or ‘Christian-splaining’ resulted in a prejudiced, ignorant worldview which was spread throughout the Western world. This symposium is one of many similar bricks that built the foundation of racist and oversimplified conceptions of world religion in the generalized Western consciousness today.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.715

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 studies0.0010.002
Scholarly communication0.0000.001
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 head0.022
GPT teacher head0.258
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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