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Record W7112781995

Positioning Theory in Islamic Sermons::Online Messages to Parents.

2022· article· en· W7112781995 on OpenAlexaboutno aff

Bibliographic record

VenuePure (Coventry University) · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsnot available
Fundersnot available
KeywordsIslamPosition (finance)Theme (computing)SermonIslamic studies
DOInot available

Abstract

fetched live from OpenAlex

Positioning theory offers a theoretical and analytical framework to explore how individuals position themselves or are positioned by others through discourse. Positioning theory provides ways to interpret how the positioning is achieved through the mutual effects of storylines, speech acts, and positions (Van Langenhove &amp; Harré 2003). We examine how male and female preachers position themselves when they advise parents about Islamic values in raising children. The sermon data is from a corpus of twenty online Islamic sermons on YouTube that engage with the theme of family. The sermons were delivered in different settings, such as in Friday services in the mosque or Islamic conferences in auditoriums in various countries, namely the USA, UK, Canada, Sri Lanka, and Qatar. The findings show that the preachers put themselves in a position of authority primarily through their expertise in quoting and interpreting authoritative sacred texts. Preachers' positioning is fluid; they position themselves as a person who delivers God's words, as storytellers, or take a more authoritative position by employing direct commands. It is common in Islamic communities for mothers to have responsibility to teach and raise children. In sermons, the preachers tell stories of paragons of Islamic parenting such as Luqman, male Biblical prophets, and stories of Muhammad to inspire fathers to play their role in helping mothers raise children.<br/><br/>First Page

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.568
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.208
Teacher spread0.187 · 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.

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
Published2022
Admission routes1
Has abstractyes

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