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Passion for a Cause, Passion for a Creed: On Ideological Passion, Identity Threat, and Extremism

2011· article· en· W1937563151 on OpenAlexaff
Blanka Rip, Robert J. Vallerand, Marc‐André K. Lafrenière

Bibliographic record

VenueJournal of Personality · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPassionIdeologyHatredIdentity (music)CreedSocial psychologySociologyPsychologyPoliticsAestheticsPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

Passion energizes and directs both peaceful and violent ideologically inspired movements. The type of ideological passion that underlies people's political or religious commitment was proposed to moderate the effect of social identity-threatening circumstances on their choice of activist tactics. Ideological passion was defined as a strong inclination toward a loved, valued, and self-defining cause, ideology, or group in which people invest considerable time and energy. Harmonious ideological passion was expected to promote peaceful activism and nonviolence partly because it is anchored in a strong and secure sense of identity-one that facilitates nondefensiveness in identity-threatening circumstances. Obsessive ideological passion, in contrast, was expected to engender hatred and aggressive extremism in identity-threatening circumstances partly because it is anchored in a strong, but insecure, sense of identity. Results from 2 studies, conducted with nationalist activists (N = 114) and devout Muslims (N = 111), supported these hypotheses. Implications for the motivation/passion and intergroup literatures are discussed.

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)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0020.007
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.195
GPT teacher head0.415
Teacher spread0.219 · 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 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

Citations103
Published2011
Admission routes1
Has abstractyes

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