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Record W2599693311 · doi:10.31581/jbs-24.1-2.2(2014)

Knowledge into Action

2014· article· en· W2599693311 on OpenAlexvenueno aff
Layli Miller-Muro

Bibliographic record

VenueThe Journal of Bahá’í Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methodologies in Social Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsAction (physics)GrassrootsHumanitySociologyNatural (archaeology)Environmental ethicsSocial justiceEconomic JusticeSocial changeSocial sciencePolitical scienceLawHistory

Abstract

fetched live from OpenAlex

Although the Bahá’í community is at the beginning of its understanding of how to apply Bahá’u’lláh’s teachings to heal the ills of the world, exciting learning has taken place regarding the development of patterns of community life and the application of Bahá’í principles to provide relief to the suffering of humanity. Still in a stage of infancy, experiments in Bahá’í-inspired social and economic development, or “social action,” have been reinforced by recent encouragement from the Universal House of Justice to engage in social action as a natural outgrowth of the maturation of community life and grassroots expressions of need. It is an exciting time to be a part of the Bahá’í community, as we are at the beginning of our learning regarding the implementation of social action as a tool for the well-being of society. This article examines the history of experience and evolution in thinking regarding social action in the Bahá’í community, focuses on the Tahirih Justice Center’s experience as one example of such learning, and critically examines the culture of service we must embody as a Bahá’í community.

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)0.024
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science 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 score0.286
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.420
GPT teacher head0.565
Teacher spread0.145 · 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 designQualitative
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

Citations0
Published2014
Admission routes1
Has abstractyes

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