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Record W4391285717 · doi:10.16995/zygon.10959

Pathways to Equity in Addressing Climate Change: A Bahá’í Perspective

2024· article· en· W4391285717 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.

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

Bibliographic record

VenueZygon® · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Ecology, and Ethics
Canadian institutionsCentre For Cold Ocean Resources EngineeringMemorial University of Newfoundland
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

According to current scientific consensus, anthropogenic climate change has become one of the most serious existential threats to human civilization. In the latter half of the nineteenth century, Bahá’u’lláh warned of the dangers inherent in the unbridled advancement of material civilization if a parallel advance in the moral and spiritual dimensions of civilization were neglected.This article outlines a framework with three components for dealing with the crisis of anthropogenic climate change. The first component is to embrace justice and equity, rooted in an awareness of the essential oneness and wholeness of the human race. The second is the full embrace of sound science. The third is consultation at all levels of society regarding the technological and social measures to be taken, in which all have a voice and participate in forging solutions.It then outlines Bahá’í approaches to climate change in light of this framework. It first profiles the worldwide Bahá’í community, then discusses the concept of the three protagonists in the civilization-building process, and finally outlines the framework for action, which characterizes Bahá’í work at the neighborhood and community level.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.774
Threshold uncertainty score0.913

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.267
GPT teacher head0.482
Teacher spread0.215 · 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