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Record W7044004417

Uprooting Violence, Cultivating Peace: Education for an Engaged Spirituality

2004· other· en· W7044004417 on OpenAlexaboutno aff

Bibliographic record

VenueGriffith Research Online (Griffith University, Queensland, Australia) · 2004
Typeother
Languageen
FieldMaterials Science
TopicEnzyme Structure and Function
Canadian institutionsnot available
Fundersnot available
KeywordsSpiritualityAction (physics)PoliticsEveryday lifeSpiritual developmentHigher educationCommunity educationReflection (computer programming)Process (computing)Religious education
DOInot available

Abstract

fetched live from OpenAlex

In this lecture Professor Toh seeks to share some insights, lessons, signposts and questions flowing from his personal journey in peace education through various South and North contexts. Through critical reflection on and analysis of these personal and
\nsocial experiences gained as part of a wider educational and peace building community, notably in the Philippines but also in Australia, Canada and other global networks, Professor Toh hopes to present a meaningful case for what may be called education for an engaged spirituality. Spiritual growth cannot be a self-centred goal and process divorced from social and political realities, but rather needs to be expressed in action and practices that transform the everyday lives of individuals, communities, nations
\nand the world community toward a culture of peace. Using exemplars from his journey and inspired by other peace educators who have shared paths in trying to uproot violence and cultivate peace, this talk will explore the complexities, challenges and hopes of educating for an engaged spirituality.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.662
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.159
GPT teacher head0.407
Teacher spread0.248 · 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.

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

Citations1
Published2004
Admission routes1
Has abstractyes

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