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Record W3185539556 · doi:10.1561/105.00000134

Martyrdom and Rebellious Collective Action

2021· article· en· W3185539556 on OpenAlexaboutno aff
Vladimir Maltsev

Bibliographic record

VenueReview of Behavioral Economics · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsSuperstitionCollective actionGovernment (linguistics)Value (mathematics)SectAction (physics)OddsPolitical scienceLawReligious studiesPolitical economyEconomicsTheologyPhilosophyPoliticsMathematicsStatistics

Abstract

fetched live from OpenAlex

The paper analyses the role of martyrdom superstition in fostering rebellious collective action. Rebellions are plagued with problems of free riding, as the benefits of this activity are small, while the costs are high. I argue, however, that a religious society may rationally use the martyrdom superstition to incentivize rebellion. Martyrs gain utility from suffering, which lowers their private costs in case a rebellion does not succeed. If the spiritual benefits from martyrdom are sufficiently high and the costs of failed rebellion are not infinite, then the expected value of rebelling will be higher than the expected value of non-participation. I apply these insights to a radical splinter of the Canadian Doukhobor sect called the Sons of Freedom. Through martyrdom, the anarchic group rebelled against the Canadian government for nearly 80 years, despite their small numbers and low odds of success.

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 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 score0.856
Threshold uncertainty score0.352

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 studies0.0000.000
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 head0.071
GPT teacher head0.404
Teacher spread0.333 · 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 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

Citations3
Published2021
Admission routes1
Has abstractyes

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