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Record W2557460076 · doi:10.1177/0022002716680266

Self-censorship of Conflict-related Information in the Context of Intractable Conflict

2016· article· en· W2557460076 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Conflict Resolution · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsnot available
FundersAzrieli FoundationIsrael Science Foundation
KeywordsCensorshipContext (archaeology)Social psychologyTransparency (behavior)Conflict resolutionPerceptionPsychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Self-censorship is of great importance in societies involved in intractable conflict. In this context, it blocks information that may contradict the dominant conflict-supporting narratives. Thus, self-censorship often serves as an effective societal mechanism that prevents free flow and transparency of information regarding the conflict and therefore can be seen as a barrier for a peacemaking process. In an attempt to understand the potential effect of different factors on participants’ willingness to self-censor (WSC) conflict-related information, we conducted three experimental studies in the context of the Israeli–Palestinian conflict. Study 1 revealed that perception of distance from potential information recipients and their disseminating capabilities lead to higher WSC. Study 2 replicated these results and also showed that fulfilling different social roles has an effect on the WSC. Finally, study 3 revealed that the type of information has a major effect on WSC.

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.

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)0.003
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.270

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.031
GPT teacher head0.317
Teacher spread0.286 · 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