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Record W4404368915 · doi:10.70064/mt.v5i2.922

Speaking into the Ear: Fecund Truth's Virgin Medium

2022· article· en· W4404368915 on OpenAlexaff
Karim H. Karim

Bibliographic record

VenueMedia theory. · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsCarleton University
Fundersnot available
KeywordsBiology

Abstract

fetched live from OpenAlex

Contrary to the widespread view of myth as falsehood, its hermeneutic interpretation has long been seen as providing insight for life’s conundrums. Peters’ (1999) juxtaposition of perfect angelic exchanges of meaning with flawed human discourse opens up fresh approaches for examining communication’s complexities. Religious thought has dealt intriguingly with the ‘media problem’ posed by angels and mortals’ incommensurable difference. Muslim philosophy posits a subtle faculty of the creative imagination / active intellect as a pristine mediator between them. This article explores reparative potential for disinformation’s chaos-inducing harm in our time through an intertextual study of old Jewish, Christian and Muslim narratives, in which speaking and hearing’s relationship with truth is a core value. Scriptural discourses about the discerning mode of the Virgin Mary and the Prophet Muhammad’s respective receptions of the Word offer understanding for engagement with our turbulent mediascape and underline the always current value of such symbolic narratives.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.880
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.283
Teacher spread0.268 · 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 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
Published2022
Admission routes1
Has abstractyes

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