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Record W4384008053 · doi:10.32920/23587476.v1

Madow & Muslim in Canada: Barriers Impacting the Success of Somali Youth within the Ontario Public-School System

2023· preprint· en· W4384008053 on OpenAlexaffabout
Deeqa Abdulkarim

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsCarleton UniversityToronto Metropolitan University
Fundersnot available
KeywordsSomaliRacismIslamophobiaGender studiesPolitical sciencePoliticsImmigrationRefugeePopulationSociologyDemography

Abstract

fetched live from OpenAlex

Despite the social exclusion of Black youth within the public-school system being well documented locally and internationally, showing us that Black youth are denied access to and participation in education, the labour market, the political system and even some public spaces. There is little research that examines how racism and Islamophobia impact the schooling experiences of Somali youth - and their dual experiences as both Black and Muslim in Canada. As such, this literature review seeks to highlight the ways in which Somali youth within Ontario schools often experience multiple forms of discrimination within the education system, similar and different from other Black refugee groups, and Black Canadian youth. Despite the considerable differences in socio-economic, demographic and cultural population between these three above-mentioned groups, these youths may face similar barriers within the Ontario public-school system. Key Words: Somali youth, Anti-Black racism, Islamophobia

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.584

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0180.004
Scholarly communication0.0050.001
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.097
GPT teacher head0.279
Teacher spread0.182 · 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
Published2023
Admission routes2
Has abstractyes

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