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Record W754140719

"The Mother is a School": Muslim Mothers and Their Religio-Educative Roles

2014· article· en· W754140719 on OpenAlexaboutno aff
Sara Hamed

Bibliographic record

VenueMacSphere (McMaster University) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTransformative learningIslamFeelingMetaphorSociologyEthnographyContext (archaeology)PoetryIdeologyGender studiesRepentancePsychologyAestheticsSocial psychologyPedagogyLiteraturePoliticsTheologyArtHistoryPolitical scienceLawPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Using found poetry extracted from in-depth ethnographic interviews, this study seeks to explore the experiences and imaginations of eleven Muslim mothers of the Greater Toronto Area (GTA), particularly focusing on their religio-educative, child-rearing roles. With strikingly spatial language, participants describe themselves in terms of heroines and poets, while also expressing overwhelming feelings of failure to fulfill self-defined “ideal” motherhood. Using poetic inquiry, this research moves beyond apparent paradoxes, offering the concept of poetic spaces –in-between spaces that are fluid and transformative, navigating everyday truths in relation to religious Truths- to demonstrate the complexity of mothers’ imaginations. This work is also part of a small yet growing line of inquiry, seeking to explore Muslim imagination from an aesthetic perspective, rather then through a predominantly legal lens. Within this small yet important area of inquiry, this work is the first of its kind to focus exclusively on Muslim mothers.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.007
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.013
GPT teacher head0.234
Teacher spread0.221 · 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 designQualitative
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
Published2014
Admission routes1
Has abstractyes

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