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Record W2616253218 · doi:10.46743/1082-7307/2017.1378

“If You Want Peace, Work For Justice:” Assessing Pope Paul VI as a Peacebuilder on the Levels of Insight and Action

2017· article· en· W2616253218 on OpenAlex
Christopher Hrynkow

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePeace and Conflict Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsUniversity of WinnipegCanadian Mennonite UniversityUniversity of ManitobaUniversity of SaskatchewanUniversity of Toronto
Fundersnot available
KeywordsPeacemakingConversationEconomic JusticeCatholic social teachingSociologyAction (physics)Peace and conflict studiesLawPolitical scienceEnvironmental ethicsPhilosophy

Abstract

fetched live from OpenAlex

Paul VI was the first reigning pope to travel via airplane. On one such trip, he addressed the UN General Assembly, emphatically declaring “War never again! Never again war!” During the same period, Paul VI also saw the Second Vatican Council through to its completion. Vatican II produced an articulation of substantive peace in one of its final documents, Gaudium et Spes. This article employs an analytical yardstick through reading Gaudium et Spes in conversation with a Peace and Conflict Studies perspective, as a means to assess Paul VI’s peacemaking efforts on the levels of insight and action. Specifically, this article addresses Paul VI’s diplomatic initiatives, ecumenical outreach, and his contributions to Catholic Social Teaching, inclusive of the establishment of the annual World Day for Peace Messages. One of those messages is the source of what is his most repeated social teaching: “if you want peace, work for justice.”

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.349
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
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 head0.182
GPT teacher head0.426
Teacher spread0.245 · 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