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The Culture of Peace and Leadership for Peace

2022· book-chapter· en· W4225265407 on OpenAlexaff
Erich P. Schellhammer

Bibliographic record

VenueAdvances in religious and cultural studies (ARCS) book series · 2022
Typebook-chapter
Languageen
FieldPsychology
TopicSocial Representations and Identity
Canadian institutionsRoyal Roads University
Fundersnot available
KeywordsDignityEnvironmental ethicsSituatedPolitical scienceTransformative learningMulticulturalismPeace economicsEthical leadershipSociologyPolitical economyPeace and conflict studiesPublic relationsLawPedagogyPhilosophy

Abstract

fetched live from OpenAlex

This chapter first gives an outline of the international understanding of peace that is rooted in the Kantian concept of human dignity and has found its latest concretization in the United Nations' Sustainable Development Goals laid out in 2015. Thus, peace is a vison within a predominant culture of war requiring more or less drastic changes of individual mindsets that, collectively, form a culture. The second part addresses the role of a peace leader who aligns followers around the vision of peace and acts as a catalyst for the required change in viewing one's self, the other, and the world. It addresses obstacles to move towards a culture of peace that are based on the same psychological features that can be used by a peace leader to engage followers in transformative processes. It also discusses the challenges for a peace leader as a situated individual, the necessity of accepting multiculturalism, and an ethics that helps a peace leader to stay on course.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.007
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0130.004

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 head0.067
GPT teacher head0.369
Teacher spread0.301 · 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 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

Citations1
Published2022
Admission routes1
Has abstractyes

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