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Record W4415010940 · doi:10.65045/001c.144886

Adolescent Perceptions and Experiences of the Hijab: a Qualitative Canadian Study

2017· article· en· W4415010940 on OpenAlexafffundabout
Emma Funnell-Kononuk, Pamela Dickey Young, Valerie Michaelson

Bibliographic record

VenueJournal of Childhood and Religion · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicJewish Identity and Society
Canadian institutionsBrock UniversityQueen's University
FundersCanadian Institutes of Health ResearchQueen's University
KeywordsPerceptionFocus groupQualitative researchInterpretative phenomenological analysisIslamPhoto elicitationPhenomenology (philosophy)

Abstract

fetched live from OpenAlex

In this study, we used a phenomenological method to explore of adolescent experiences of hijabs in a medium-sized Canadian city. Using a focus group for data collection, six Muslim adolescents (two hijabi girls, two non-hijabi girls, and two boys) aged 12-15 shared their experiences regarding hijabs in a public school environment, and described occurrences involving peers, teachers, and expectations. Findings suggested that adolescent girls consider many factors when choosing whether or not to wear a hijab, including practicality and an individual sense of style, along with more internal reasons. Both girls and boys saw wearing a hijab as a way of representing Islam, and discussion about the hijab led them into a broader discussion about being Muslim and their related concern that Islam is often misunderstood. This paper offers insight into adolescent perceptions of wearing a hijab and being Muslim in a largely non-Muslim community.

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)0.003
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 score0.205
Threshold uncertainty score0.412

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0130.005
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
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 head0.019
GPT teacher head0.342
Teacher spread0.323 · 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
Published2017
Admission routes3
Has abstractyes

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