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Record W2780946569 · doi:10.31581/jbs-26.4.5(2016)

Advancing in Bahá’í-inspired Education

2016· article· en· W2780946569 on OpenAlexvenueno aff
Sona Farid-Arbab

Bibliographic record

VenueThe Journal of Bahá’í Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsnot available
Fundersnot available
KeywordsEmpowermentSociologyOrder (exchange)Field (mathematics)PedagogyState (computer science)PsychologyMathematics educationEngineering ethicsEnvironmental ethicsPolitical scienceComputer scienceEngineeringLawMathematics

Abstract

fetched live from OpenAlex

In order to advance significantly in Bahá’í-inspired education, we need to keep in mind Bahá’u’lláh’s extraordinary vision of the human being who will walk this earth in the fullness of time. While being respectful of accomplishments in the field of education, we need to remember that in its present state, it is incapable of cultivating such an individual. Humbled by the realization of the magnitude of the work ahead, a growing number of us, together with other like-minded individuals, have to labor in diverse cultural and ecological settings, identifying educational needs, developing elements of a coherent pedagogy, and creating a series of teaching-learning experiences in which these elements are given practical expression. The experience of the Junior Youth Spiritual Empowerment Program is offered as an example of an endeavor to advance Bahá’í-inspired education in which modest contributions accumulate and lead to significant progress.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.003
Scholarly communication0.0050.002
Open science0.0010.008
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.035
GPT teacher head0.373
Teacher spread0.338 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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