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Assessing the Hypotheses against Women Leadership in African Christianity

2013· article· en· W1518482556 on OpenAlexvenueno aff
Mepaiyeda Solomon Makanjuola

Bibliographic record

VenueCross-cultural communication · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsnot available
Fundersnot available
KeywordsChauvinismOppressionPrerogativeChristianitySociologySubordination (linguistics)InequalityGender studiesDiversity (politics)Social psychologyEnvironmental ethicsPolitical sciencePsychologyLawReligious studiesPhilosophyPoliticsAnthropology

Abstract

fetched live from OpenAlex

Despite the undisputable roles of women as home-makers and nation-builders, many hypotheses had been advanced in support of male chauvinism mostly prevalent in African society. Such discrimination is attributable to two sources: culture and religion. The prejudices, inequalities and injustices suffered by women seem to be deep-rooted. What is even more unfortunate and scandalous is that religion has been and is still being misused to reinforce the oppression and subordination of women. Equally disconcerting is the fact that among the womenfolk themselves there are quite a number who have accepted these conditions as normal and therefore have had no inclination to demand and work for a change. Such women have resigned themselves to an inferior status and sincerely believed that such is their divinely ordered fate. This paper, therefore, is aimed at evaluating the theological, cultural and philosophical hypotheses that serve as roadblocks against women leadership in order to disprove their logical veracity; and to establish that leadership in the church should transcend the factor of gender but be based on God’s prerogative and infinite grace.

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)0.023
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.047
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0080.033
Scholarly communication0.0080.004
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.000

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 head0.176
GPT teacher head0.334
Teacher spread0.158 · 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 designTheoretical or conceptual
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
Published2013
Admission routes1
Has abstractyes

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