MétaCan
Menu
Back to cohort
Record W4399728212 · doi:10.32920/26046571

The Social Construct of Religious Identity and Its Implications on the Integration Experience of Immigrant Muslim Youth in Canada

2024· preprint· en· W4399728212 on OpenAlexaffabout
Hira Zulfiqar

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsToronto Metropolitan UniversityUniversity of Guelph-Humber
Fundersnot available
KeywordsConstruct (python library)ImmigrationIdentity (music)SociologyGender studiesReligious identitySocial identity theoryPolitical scienceSocial scienceSocial groupComputer scienceLaw

Abstract

fetched live from OpenAlex

<p>As Islam is the second largest and fastest growing religion in Canada, the strong prevalence of Muslims requires the field of immigration to adequately address the community's issues. Consequently, this research explored the key social constructions of Muslim identities and considered their implications on religious identity and the integration experiences of immigrant Muslim youth in Canada. Following an academic literature review, and guided by a theoretical framework of social constructionism, orientalism, identity process theory, content analysis methods analyzed 49 selected articles from the Toronto Star and National Post between January 2015 to July 2022. Results show that Muslim immigrant youth are negatively constructed by these news media where: Islam is socially constructed as a violent religion, Muslim youth as victims of their faith, and Muslims are seen incompatible with the Canadian context. The results suggest that greater research and supports are needed for Muslim immigrant youth for positive integration. </p>

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score0.293

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.362
Teacher spread0.306 · 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 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
Published2024
Admission routes2
Has abstractyes

Explore more

Same topicEducation and Islamic StudiesFrench-language works237,207