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Record W3170591943 · doi:10.1177/00905917211021796

Martin Luther King Jr. on Democratic Propaganda, Shame, and Moral Transformation

2021· article· en· W3170591943 on OpenAlexaff
Meena Krishnamurthy

Bibliographic record

VenuePolitical Theory · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsQueen's University
Fundersnot available
KeywordsDemocracyShamePoliticsSociologyContext (archaeology)LawWhite (mutation)Political scienceHistory

Abstract

fetched live from OpenAlex

This essay develops an account of Martin Luther King Jr.’s justification for and use of what I will call “democratic propaganda”—truthful propaganda that is aimed at promoting and fostering democratic political action by stirring readers’ emotions. I interpret King’s famous “Letter from Birmingham Jail” in the broader context of his work and argue that it is a piece of democratic propaganda. I give an account of what led King to support the use of democratic propaganda and why he hoped it would help to overcome a central problem in the civil rights movement: the political inaction of the white moderates. King emphasizes shame in the Letter, and I argue that this concept offers us a new way of thinking about the efficacy of democratic propaganda. I close by considering the relevance of King’s approach for today’s Black Lives Matter movement. Despite the innovativeness of King’s use of shame, I suggest it may be time for a new approach to Black politics and activism.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.024
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0030.001

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 head0.039
GPT teacher head0.227
Teacher spread0.187 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations18
Published2021
Admission routes1
Has abstractyes

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