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A Philosophical Hermeneutic Study of the Interview between Minister Louis Farrakhan and Imam W. Deen Mohammed: Toward a Fusion of Horizons

2018· article· en· W4412354963 on OpenAlexvenueno aff
E. Anthony Muhammad

Bibliographic record

VenueJournal of Applied Hermeneutics · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsNew horizonsPhilosophyTheologySociologyPsychoanalysisPsychologyEngineering

Abstract

fetched live from OpenAlex

The philosophical hermeneutics of Hans-Georg Gadamer has broadened the scope and manner of hermeneutic inquiry. By focusing on aspects of Gadamer’s hermeneutics such as dialogue, the hermeneutic circle, play, openness, and the fusion of horizons, this study sought to apply Gadamer’s ideas to an historic interview that took place between two notable Islamic leaders, Minister Louis Farrakhan and Imam Warith Deen Mohammed. By analyzing the dialogue of the interview and identifying the relevant Gadamerian concepts at play within the exchanges, it was determined that a fusion of horizons did in fact occur. By applying philosophical hermeneutics to a real world dialogic encounter with participants who harbored deep-seated, divergent views, the current study accentuates the use of philosophical hermeneutics as an analytic framework. This study also highlights the utility of using philosophical hermeneutics in inter and intra-faith dialogue specifically, and in the quest for understanding in general.

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)0.018
metaresearch head score (Gemma)0.022
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: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.022
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0160.022
Scholarly communication0.0060.006
Open science0.0010.006
Research integrity0.0030.006
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 head0.059
GPT teacher head0.312
Teacher spread0.253 · 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
Published2018
Admission routes1
Has abstractyes

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